|Exam Name||:||IBM Websphere Massege Broker V8.0 System Administration|
|Questions and Answers||:||55 Q & A|
|Updated On||:||February 15, 2019|
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C2180-277 exam Dumps Source : IBM Websphere Massege Broker V8.0 System Administration
Test Code : C2180-277
Test Name : IBM Websphere Massege Broker V8.0 System Administration
Vendor Name : IBM
Q&A : 55 Real Questions
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Granular Visibility Into every and every Message circulate Execution gives detailed Logging, Improves Error Detection, and Automates Mapping for commercial enterprise provider Buses, connected functions and features
FRAMINGHAM, MA--(Marketwired - Jun eleven, 2013) - Correlsense, a number one IT monitoring application business, today introduced SharePath for IBM® WebSphere Message broking service (WMB). This latest enhancement to SharePath 3.0, the business's business-category APM answer for managing complicated interconnected applications, is most useful for any organization counting on IBM middleware for its transactional spine.
As purposes develop into increasingly connected, groups are using commercial enterprise carrier Buses (ESBs) to tackle the communications between disparate applications and capabilities. the usage of an ESB, despite the fact, introduces new management challenges. They are sometimes decoupled from the core utility and execute enterprise good judgment and code which adds complexity while increasing the time to become aware of and isolate performance issues. not like other middleware management options that focus on infrastructure monitoring, SharePath for IBM WebSphere Message broker offers more granular visibility into the finished circulation of individual message flows into, within and out of the ESB. This offers indisputable proof about where performance complications and error turn up, whether inside message broker, during which node, or inside the backend functions or functions.
SharePath follows each message stream via its nodes and external features, and logs all this distinct tips in a scalable big records repository, including parameters, values and exception errors of each and every execution. in addition to huge built-in logging, auditing, and tracking of all messages, SharePath provides trending and change analysis to track efficiency over time.
SharePath for WebSphere Message broking service gives middleware house owners, IT operations and creation support groups the capacity to instantly take into account dependencies and identify middleware bottlenecks. Most in particular, SharePath for IBM WebSphere Message broker:
"SharePath for IBM WebSphere Message broker empowers groups to benefit control over a crucial commercial enterprise part," noted Nir Livni, VP of products. "agencies the usage of SharePath now not have to construct huge, expensive and blunder-susceptible logging and monitoring mechanisms to have in mind what came about to a selected message and whether it succeeded or failed."
SharePath for IBM WebSphere Message broker is purchasable instantly as a standalone providing or as part of a complete end-to-end APM solution in accordance with SharePath three.0. more tips can be discovered at http://www.correlsense.com/solutions/enterprise-need/sharepath-for-ibm-websphere-message-broking service/
About Correlsense Correlsense develops software efficiency administration and IT monitoring application. it's the APM made from alternative for business and IT operations managers that rely on advanced and demanding enterprise functions. Correlsense paints an entire and dynamic photograph of IT provider ranges and efficiency for applications that span mobile, SaaS, cloud, records center and legacy mainframes. Correlsense become founded in 2005, is privately held and SharePath customers consist of probably the most world's largest monetary, telecom and retail corporations. For greater assistance, consult with www.correlsense.com.
A vulnerability turned into found in IBM App join, Integration Bus and WebSphere Message broker (software Server utility) and classified as vital. This problem affects part of the part XML facts Handler. The manipulation with an unknown input leads to a privilege escalation vulnerability (XXE). the usage of CWE to declare the difficulty results in CWE-611. Impacted is confidentiality, integrity, and availability.
The weakness become launched 02/04/2019. it's possible to examine the advisory at change.xforce.ibmcloud.com. The identification of this vulnerability is CVE-2018-1801 on the grounds that 12/13/2017. The attack may be initiated remotely. The technical details are unknown and an take advantage of is not publicly available. The pricing for an exploit should be would becould very well be around USD $25k-$100k in the mean time (estimation calculated on 02/05/2019).
There is not any suggestions about viable countermeasures generic. It may well be advised to replace the affected object with an choice product.CPE CVSSv3 VulDB Meta Base ranking: 6.3VulDB Meta Temp score: 6.3
VulDB Base score: ≈6.3VulDB Temp score: ≈6.3VulDB Vector: 🔒VulDB Reliability: 🔍CVSSv2 VulDB Base rating: 🔒VulDB Temp score: 🔒VulDB Reliability: 🔍Exploiting category: Privilege escalation / XXE (CWE-611)local: NoRemote: yes
fee Prediction: 🔍latest rate Estimation: 🔒hazard Intelligence risk: 🔍Adversaries: 🔍Geopolitics: 🔍economic climate: 🔍Predictions: 🔍moves: 🔍 Countermeasures informed: no mitigation known0-Day Time: 🔒 Timeline 12/13/2017 CVE assigned02/04/2019 Advisory disclosed02/05/2019 VulDB entry created02/05/2019 VulDB closing update assetsAdvisory: exchange.xforce.ibmcloud.comConfirmation: 🔒
CVE: CVE-2018-1801 (🔒)entryCreated: 02/05/2019Complete: 🔍
this article indicates a fingers-on strategy of the best way to check your IBM WebSphere Message broking service solutions in an easy means the use of up to date Groovy and Java equipment.
The strategy taken could in reality be used with greater or less any integration platform youngsters some actually do have constructed-in methods of doing it, like Apache Camel.Introduction
checking out allotted enterprise integration the use of in our case IBM WebSphere MQ and IBM WebSphere Message broking service (IBM name it for their superior ESB) is no so conveniently accomplished because it should be.
The built in help for testing is not helping us a good deal (see test client in components).
At my existing project there's a wealth of distinctive strategies: JMeter, SoapUI, RFHUtil, MbTest, JUnit, end-to-end consumer testing, in-condominium developed checking out equipment.
I desire a more robust method that works neatly with our CI server and right here is the beginning of that journey. To exhibit i'll use a vanilla IBM WebSphere Message broker with default configuration (see appendix for hyperlinks) after which one of the vital primary software samples for coordinated request/reply.imagine all you had to write was… where: testFileName | expectedFileName | requestQ | replyQ | ignoreNamedElementsNames 'request1.xml' | 'reply1.xml' | 'GET_REQREP_IN' | 'GET_REQREP_OUT' | [ 'CompletionTime', ‘e2’] 'request2.xml' | 'reply2.xml' | 'GET_REQREP_IN' | 'GET_REQREP_OUT' | [ 'CompletionTime' ]
To “inject” the facts into the look at various that should be run once per row above (omitting the particulars)given: "A XML payload to send" and: "An expected reply XML payload" and: "Ignoring variations for configured point names" when: "The request is shipped" then: "A reply is bought" and: "The reply payload incorporates similar XML"
due to the fact I don't seem to be capable of accurately structure this text with regards to images and so on., you'll have to examine the complete story at my GitHub wiki in its place.
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While the appliances are quite versatile and can thus be used to solve many different types of problems (and implementers have been quite creative in this regard), we find there are a few common use cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, we discuss each of these in more detail.Solving Security Problems
Let’s think about what it would take to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in Figure 1-2 requires specialized skills to install and maintain. Particularly for DMZ deployments, the server hardware itself must be hardened. In highly secure environments, this can involve removing any components that might allow information to be taken from the server, such as USB ports and writeable CD/DVD drives. The operating system must also be hardened, removing components such as telnet and sendmail.3 Often, this results in other layers of the software stack not installing or operating properly! If you are successful in installing the application software stack, it must be hardened as well. These are common requirements for high security environments such as financial companies, intelligence services, and military applications.
Although software-based DMZ components can be hardened successfully, it is a lot of work. Compare this with the simplicity of installing a dedicated, highly secure hardware appliance, purpose built to do a few things well with fairly simple administrative interfaces, as shown in Figure 1-3.
The appliances are hardened out of the box. For example:
The age-old rule for the DMZ is to terminate client connections there and then proxy connections to the backend from the trusted DMZ servers. However, in the field we find even more stringent security policies that do not warrant any traffic (even proxied through these secure intermediaries) to the backend until the client is authenticated and authorized. This is referred to as perimeter security and is an increasingly common requirement, driving sales of DMZ security products such as TAM. Later, we show how DataPower appliances can also solve this problem.
Another requirement for DMZ components is to virtualize or hide the implementation details of backend servers and applications. Typical DMZ products interact only with the protocol layer of the network stack, so they can hide things like hostname/IP, ports, and URIs, whereas XML-centric application proxies such as DataPower appliances can virtualize on a much more intelligent basis and can analyze the entire message stream.
A strong reason for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time we felt HTTP to be innocuous, today we are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” we show how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances have the processing power to check for the many variations of XML threats.
Another common security problem is a mismatch in the specification levels or credential formats of various technologies across large corporate IT infrastructures. For example, consider a marketing IT silo running on Microsoft®.NET using WS-Security 1.0 and SPNEGO credentials for identity and a manufacturing silo using IBM WebSphere Application Server (WAS), WS-Security 1.1, and LTPA credentials for identity. In today’s ESB-driven SOA architectures, a single transaction may have to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide range of the latest specification implementations and credential formats, they can be used to transform messages and credentials to fit the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that also depends on other factors such as having a common registry.To Lower Total Cost of Ownership (TCO)
Refer back to the scenario in Figure 1-2, where there are numerous skills required to install and maintain a typical server and software stack. Now think of this in terms of the staff required and cost to the organization. With self-contained appliances where the operating system and file system characteristics are irrelevant from an administrative perspective, this becomes much less work. The function of the appliances is dedicated and streamlined, hence the administrative tasks and interfaces tend to be as well. For example, in the scenario in Figure 1-2, you have to continually install fixes and updates at every layer of the stack. However, for appliances, you typically do this by uploading a small firmware update and rebooting, which takes only minutes. In the server scenario, you have multiple different administrative consoles to manage the layers of the stack; with the appliances, you have only one console.
The TCO return does not solely manifest itself in the setup and administration of the platform. Consider the silo example in the prior section—where various areas of a corporate IT infrastructure are running Web services across different platforms, such as those from IBM, Microsoft, and BEA. If the corporation has one set of policies for security and SLM that need to be implemented across all these platforms, then it must be done multiple times, by multiple people, with skills on each platform. Not only is the configuration redundant and therefore expensive, but this problem is repeated each time it needs to change, and there is always the risk that the policy will not be implemented exactly the same on each platform, which can lead to security holes or application failures. This is depicted in Figure 1-4.
Figure 1-4 Redundant administration versus simplified appliance model.
A more concrete example can be implemented by creating a single service that acts as a Web service proxy on the DataPower appliance, importing the WSDL files for the Web services providers on each of those backend platforms, and then applying the security and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for all platforms. All this is based on standards that we discuss later, not only Web services itself, but also the accompanying standards such as WS-Security for security, WS-Policy for policy definition, WS-Addressing for endpoint resolution, and WS-Management and WSDM4 for management.Enhancing Performance
XML is the foundation on which many modern architectures are built—it has evolved into SOAP for Web services and is found across the breadth and depth of the SOA stack and related specifications. Over time, it has evolved from a simple markup language to something quite complex and sophisticated. Of course, the problem as far as performance is concerned is that XML is fairly easy for humans to read, but not for computers. It is a verbose representation of data and typically requires significant resources in terms of CPU power and memory to process. This overhead is typically found in parsing the XML document into an in-memory representation and in validating the XML against its schema file.5
Consider the impact of parsing and validating the storm of XML/SOAP documents that hit your systems during peak production levels. Now consider the overhead of security that may be embedded in those messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted data. This requires a tremendous amount of processing power and time and robs precious cycles away from what your backend systems should really be doing—focusing on transactional business logic! Also consider the absolute waste of expending these cycles for messages that come in badly formed, with schema violations or illegitimate security issues. The cycles expended on processing them and handling the errors are wasted. Figure 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing level is low here—the main hit when parsing is memory utilization.) Notice the impact of security operations. This can be helped somewhat with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. Also note that abusing these security features to consume CPU resources is one way of mounting attacks.
A grand solution for this, of course, is to use appliances to do all that heavy lifting at near wire speed. As you will see when we discuss the appliance characteristics, they are amazingly fast and can handle these tasks at orders of magnitude faster than software-based solutions running on standard servers. Now focus on another scenario—one where the appliance makes sure that only clean traffic gets to the backend systems. Imagine the huge differential in available processing power on the backend if the validation and security tasks are done by the time the traffic gets there. The appliances can validate schemas, verify signatures, decrypt the data, and more. This can often result in huge performance returns, depending on considerations such as message sizes, cipher strengths, network latency, and so forth.
Speaking of message sizes, this is often another major stumbling block for Java-based software systems processing XML. In modern day real-world systems, we are now seeing huge SOAP messages on the order of hundreds of megabytes or even gigabytes in size. The conundrum is how to process these, given constraints on maximum JVM heap sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can handle messages larger than their actual memory space.
On another message-related topic, consider applications that do XML transformation between differing schemas; for example, an application that consumes XML purchase orders and must understand a variety of incoming purchase order formats from business partners, and then transforms each into the one “golden” purchase order schema that this company uses. These transformations can be quite expensive to process (see Figure 1-5) and result in bloated application code. We all know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now consider the effect on the application if the transformations were moved out to the appliance on the frontend so that the backend application now gets only the one “golden” schema format. Yes, our application has gone on quite a diet, is less expensive to maintain, and is much faster. One field scenario consisted of a frontend cluster of Java EE applications to do such transformations to keep the cluster of business logic applications behind it lightweight. However, since this was running on a platform that charged for CPU time, and given the overhead of XML transformations shown in Figure 1-5, it was expensive. The solution was to move the transformation layer out to DataPower appliances. The result was a huge cost savings and orders of magnitude faster processing.Integrating Platforms
In the previous section, we discussed a scenario in which the appliance could be used to bridge differences in standards specifications (WS-Security v1.0 versus. v1.1) and identity credentials (SPNEGO versus LTPA) across systems. This is one good example of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on standard servers and products to keep up with this. On the appliance, you load a firmware update to get the latest and greatest.
However, there are other issues that arise when integrating different platforms. Consider a scenario in which a medium-sized business XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The business partners that they depend on have long since moved their platforms to Web services and are telling poor XYZ Corp that they can no longer afford to support XYZ’s legacy interface to that system, and they must provide a modern SOA or Web services interface or lose the business. This puts XYZ in a bad position; what will it cost to retrain its programmers, rewrite its COBOL applications, and revamp the backends to its Java EE platforms? Likely, it would be a staggering amount! A common solution to this problem is to place appliances at the front of the network as proxies, cook up a WSDL file to describe some Web services, begin receiving the ASCII SOAP messages from the now-happy business partners, and convert them on-the-fly to EBCDIC EDI or COBOL Copybook messages and send them over MQ or IMS Connect to the legacy backend. The backend does not have to change, and no programs have to be rewritten—a win-win!
Due to the variety of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so on) supported by the DataPower appliances, there is a wealth of opportunity for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can handle either XML-to-XML or non-XML transformation scenarios, meaning that messages can be transformed to the appropriate format for any intended backend.
Another common and age-old scenario related to integrating platforms is dynamic routing. Because it is often a requirement to make dynamic routing decisions “on the edge of the network,” we have DMZ Web servers, proxies, and load balancers handle this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications place some value in the protocol header to facilitate the content-based routing. As an example, if we want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would place a cookie or attribute in an HTTP header or URL parameter. The Web server, proxy. or load balancer in the DMZ would be configured to check for this and then route the traffic accordingly. The problem with this scenario is that you have to put this hack in the applications and the HTTP payload, potentially disclose message data to attackers, and involve the sender/client. This solution doesn’t scale because if you continually do this, the HTTP header and application code bloat.
Because SOA appliances are XML-savvy and can use technologies such as XPath, they can check inside the message payload to look for the actual <po_value> element rather than alter the application and HTTP header. If the message is encrypted, you don’t need to expose this by externalizing the data; you can just decrypt the message and check the value, and then route accordingly. The client in this case does not have to be complicit—the routing is truly dynamic and transparent. The XML Aware Network layer is shown in Figure 1-6.
One last important feature in regard to the integration story is the use of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their strong routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB products capable of implementing the ESB pattern—WebSphere Message Broker (WMB) and WebSphere Enterprise Service Bus (WESB). Each of these have unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others have features that DataPower does not have in the arenas of transactionality, persistent message handling, and the capability to work in other programming languages. We discuss ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”
Data and Database Management SoftwarePress Release Summary:
Built on service oriented architecture, IBM WebSphere DataStage TX v8.0 enables data, applications, and messaging system content to be combined and delivered to any application, business process, or end-user. It can integrate XML and non-XML data regardless of data volume while ensuring optimum quality. With Design Studio, business analyst or designer can build integration objects across applications, databases, and systems without generating or managing code.Original Press Release: IBM Delivers New Data Transformation Software
IBM Delivers New Data Transformation Software to Simplify Complex Integration Tasks in a Service Oriented Environment ; IBM WebSphere DataStage TX Version 8.0 Provides Real-time, Event Driven Data Transformation
August 18, 2005ARMONK, NY, August 18, 2005 -- IBM today announced a new version of software that allows companies to use one simple method for transforming and integrating complex data from virtually any source, across mainframe and distributed systems, regardless of the way information needs to be processed or delivered. This new capability for quickly and easily integrating data on demand among different applications and services helps organizations use all of their data to support strategic business initiatives such as master data management, business intelligence, and regulatory compliance.
The introduction of IBM's WebSphere DataStage TX version 8.0 reduces the complexity of data transformation across various enterprise data types and complex business processes that rely on relevant data for business decisions. It enables data, applications, and messaging system content to be quickly and easily combined and delivered to any application, business process or end-user that needs it.
"WebSphere DataStage TX version 8.0 provides customers with rich capabilities to simplify complex data transformation tasks," said Pete Fiore, vice president, Information Integration Solutions, IBM. "This new version helps solve data transformation problems quicker and easier than ever before by automating design tasks and reducing the time, risk, and cost of implementing enterprise data on-demand."
Service Oriented ArchitectureA key deliverable from the IBM and Ascential Software Project Hawk announcement earlier this year, this software is built on a service oriented architecture (SOA) and allows the data integration environment to be deployed in an open architecture supporting e-business standards. WebSphere DataStage TX can integrate business data (XML and non-XML) regardless of data volumes while ensuring the highest levels of data quality. This is especially useful when industry standards require XML and non-XML to be combined to make a complete transaction. For example, a HIPAA claim might have an XML claim attachment embedded inside a non-XML document.
"CommerceHub is using WebSphere DataStage TX to perform our EDI translations, both inbound and outbound," said Doug Smith, director, business process modeling and integration at CommerceHub. "The release of DataStage TX 8.0 resolves many of the tricky issues involved in translation between external, EDI standards based documents and our internal, XML based documents, files, and object expressions. The new approach to XML introduced in version 8.0 allows us to properly resolve character encoding between XML and EDI. The WebSphere DataStage TX Pack for EDI gives us out-of-the-box data structures for working with X12 EDI through version 5020."
Enhanced Development ToolsThe new software provides developers and production staff with new functionality to integrate the data and deliver it to the applications in a shorter amount of time. Using the WebSphere DataStage TX Design Studio, a business analyst or designer can build integration objects across applications, databases and systems without generating or having to manage code. It also provides powerful graphical features to guide users through every step in the process from initial data flow definition to solution deployment. WebSphere DataStage TX also has an easy to use drag-and-drop design interface. Other development features include a new integrated visual debugger and a page settings assistant for maps.
Building on the proven performance of earlier versions of the software, WebSphere DataStage TX version 8.0 helps provide up to a 50 percent increase in developer productivity and up to a 90 percent increase in speed for integrating XML schema.
Industry-Specific Data IntegrationAlso announced today are WebSphere DataStage TX Industry Packs for industry-specific data integration challenges. Designed to enhance the effectiveness of business analysis, these Industry Packs simplify the task of integrating data from disparate sources and transforming it into a format that meets industry specific standards such as SWIFT, HIPAA and EDI. The software also includes the capability to integrate data from the most widely used enterprise applications including SAP, Siebel, Oracle, and PeopleSoft.
New WebSphere DataStage TX Industry Packs include WebSphere DataStage TX Pack for HIPAA EDI; WebSphere DataStage TX Packs for electronic data interchange; WebSphere DataStage TX Packs for enterprise applications; and WebSphere DataStage TX Pack for SWIFT (Fin 4.1.1).
WebSphere DataStage TX version 8.0 also introduces improved performance and usability for use with IBM WebSphere Business Integration Message Broker, a powerful, industry leading enterprise service bus. WebSphere DataStage TX can be installed on top of WebSphere Message Broker in order to handle data transformation requirements, together providing high performance integration capabilities.
AvailabilityIBM WebSphere DataStage TX version 8.0 and IBM WebSphere DataStage TX Industry Packs are currently available from IBM. WebSphere DataStage TX is part of the WebSphere Data Integration Suite to provide a comprehensive architecture to cover all the integration needs of an enterprise.
More information about WebSphere DataStage TX can be found at http://306.ibm.com/software/data/integration/datastagetx/.
About IBMIBM is the world's largest information technology company, with 80 years of leadership in helping businesses innovate. Drawing on resources from across IBM and key Business Partners, IBM offers a wide range of services, solutions and technologies that enable customers, large and small, to take full advantage of the new era of e-business. For more information about IBM, visit www.ibm.com
IBM, IBM WebSphere, DataStage and the IBM e-business logo are trademarks or registered trademarks of International Business Machines Corporation. For a list of additional IBM trademarks, please see www.ibm.com/legal/copytrade.shtmlRelated Thomas Industry Update
Secure (SSO) single sign-on to multiple websites is the ultimate draw for emerging Web services. Security managers want to leverage architecture to save costs and increase user productivity. That means extending digital identities across applications that reside on multiple platforms and domains inside and outside the enterprise. RSA Security's ClearTrust 5.5 is designed to deliver SSO through federated identity, user management support and dynamic transactional authorization for multipartner Web services.
ClearTrust 5.5 provides SAML-based identity and authentication via a Federated Identity Management (FIM) module. Its API allows developers to bundle authentication and authorization requests from legacy and new applications. The release also features user management enhancements and automated workflow to authorize account creation, group assignment, profile updates and password resets. It includes transactional Smart Rules, which enable dynamic look up in databases and LDAP directories to support authorization decisions.
While ClearTrust's federated identity is a no-brainer for developing real-time SSO authorization for Web services, security managers will be distracted by having to toggle across the application's three interfaces.
Simple SSOClearTrust 5.5's FIM module provides access to multiple Web sites with a single logon -- meaning a Web service user can authenticate once and benefit from a distributed SSO to other Web sites that have a trusted relationship. FIM enables SAML 1.1-compliant identity management by generating and processing SAML assertions, which provide XML-based authentication and authorization.
FIM makes it easy to manage SAML Asserting and Relying Parties. The Asserting Party is the one who requests access to a resource on a Relying Party's site. The Relying Party accepts SAML assertions, which are statements that declare that the identity of a user has been authenticated. Trust relations, established by defining the Asserting Party and Relying Party, enable one identity to be mapped to multiple identities on other sites to eliminate the constant toggling of names and passwords. ClearTrust maintains a local store of relationship data (user names and aliases).
We configured an associated Relying Party for our Web service, a remote user identity and the authentication methods allowed, and mapped our local identity to a different remote identity to fully test the SSO federated identity capabilities.
We set the Asserting Party issuer and source identity, Asserting Party policy and trusted Relying Parties. The issuer and source identity -- the equivalent of a user ID for a Web service consumer -- is a 40-character randomly generated string that's similar to a shared key in a site-to-site security relationship. ClearTrust binds this identity string to a SOAP transport service URL, which acts as a broker for requests to a Web service. We used the FIM interface to configure length assertion lifetime policy, which defines how long the session is allowed, and custom authentication and Relying Party verification methods, such as digital certificate or basic authentication.
We authenticated to the Web service hosted on our system via the local client domain. An encrypted cookie identified us as a trusted authenticated party, and our request was directed via an SSL-secured connection to the remote Web service domain associated with our Relying Party. The SAML assertion essentially mapped our local identity to the remote identity. The remote Web service, which was configured to display the entire SAML assertion upon successful authentication and authorization, accepted our assertion, and the comprehensive display verified the receipt and accuracy in processing the SAML assertion.
Along with the standard SAML fields, ClearTrust allows for the enumeration of additional attributes, which can be used to pass information to other Web services. For example, we were able to pass metadata in the form of name/value pairs for an affinity program to the remote domain. It accepted our identity and authentication assertions, but relied on remote site authorization to control what we were able to access.
Streamlining Web Services SecurityRSA includes its ClearTrust API in version 5.5 as a "One Call" Web service for enhanced integration and to extend its reach to enterprise applications. For example, developers can bundle authentication and authorization requests from legacy and new applications such as Microsoft's .NET into a single Web service API call. ClearTrust can respond to the Web services calls with a single response that answers the packaged requests. This reduces the number of conversations between systems and improves performance considerably. For example, providing the API as a standards-based Web service allows enterprises to integrate Microsoft's BizTalk and Sun Microsystems' J2EE to use the same authentication and authorization scheme.
ClearTrust employs a Web Services Description Language interface, which uses an XML-based language to describe various Web services calls, their related functions and how to access them.
We installed our Web archive file, which is used for deploying Web applications, on a BEA WebLogic server to test the ClearTrust API, and made several test calls to the ClearTrust Web service API requesting authentication and authorization. Our simple Web service client sent the packaged request seeking authorization to three URLs (/secure, /test and /accounts). The ClearTrust Web service API bundled its answer, and following policy, returned three "allow" responses.
ClearTrust compares the user ID, authentication secret and URL requested with the local ClearTrust security policy to issue allowance decisions. We removed our user's entitlements to the three URLs to test ClearTrust's ability to deny access, and resent our packaged request. The Web service API responded by bundling three "deny" responses.
Transactional AuthorizationsClearTrust has extended its standard Smart Rules in 5.5 to enable a dynamic lookup of authorization decision data stored in databases, LDAP directories, Web services and XML files.
We created an XML file with a user ID for dynamically checking a value, and a file with a field called "credit card approval" and an assigned value of 0,1 to toggle between. We set the rule to deny access if the value for the user was 0, and allow access to a resource if the value was 1. The ACL resource was defined as our Web server directory containing a collection of analyst reports that were for paying subscribers only. Our transactional rule performed a credit card validation lookup, and issued file access pending the charge acceptance.
The transactional smart rule denied us when we tried to access the directory with the value set to 0, and with the value set to 1 allowed our access to see pages within the protected directory. ClearTrust's pairing of dynamic data and business logic for driving security decisions is an important functionality. In the case where a user's access to downloadable software is based on available credit, ClearTrust could check the user's credit to dynamically deny or authorize access.
Empowered UsersClearTrust 5.5 has eased the sting of managing end users with its Advanced User Management (AUM) module. With AUM's built-in workflow, security managers can preapprove a series of actions for authorized users, including account creation, group assignment, profile update and password reset requests.
We completed the username, password, e-mail address, full name and zip code to authorize account creation. Three questions were selected from a pull-down menu to authorize future unassisted password resets. Questions are configurable, but we applied the RSA templates for "favorite teacher," "first pet's name" and "name of your elementary school." A receipt was issued, and we were notified by e-mail when the account was approved.
The AUM module provides a list of approval tasks, and we clicked to endorse the account. An e-mail message was issued to our end user that the account activation had been approved. We tested the password reset by entering our user name in the text field and providing our three previously validated responses to the psychographic questions. Our verified responses allowed us to replace our forgotten password.
A Good MarriageRSA ClearTrust 5.5 has introduced useful features that support the emerging Web services SAML 1.1 standard. Its self-service eases user administration. Dynamic transaction rules marry business logic to security authorization decisions, with the ability to query both internal and external partner Web services for dynamic decision support. These features, when combined with the ability to expose the API as Web service, create a centralized security architecture with intelligent and distributed capabilities.
While accessing three administrative interface links from a browser-based dashboard served our purposes, combining the consoles into a single interface would make ClearTrust a more efficient tool for security managers. But given the robust and intuitive feature set in ClearTrust 5.5, we can't complain.
RSA ClearTrust 5.5RSA SecurityPrice: Starts at $26/user
PURPOSE: ClearTrust 5.5 provides access and federated identity management for Web services.
REQUIREMENTS: Requires Microsoft Windows 2000/2003, Red Hat Linux Enterprise or SuSE Linux, Sun Solaris 8/9, IBM AIX or HP-UX; Oracle, Microsoft SQL Server 2000, Sybase, Microsoft Active Directory or Sun One Directory Server; Sun One Webserver, Microsoft IIS 5.0/6.0 or Apache; BEA WebLogic 8.1, IBM WebSphere or Tomcat.
KEY FEATURES:- Provides SAML 1.1-based Web service authentication.- Comprehensive API Web service integration.- Dynamic transaction authorization based on business logic.
PROS:- Federated identity maps user IDs across Web services and sites.- Automated user account management and workflow.
CONS:- Three separate administrative GUI's.
VERDICT: RSA ClearTrust 5.5 delivers key components that target the need for federated identity with support for emerging Web service standards. User self-service eases the administrative burden for authorizing Web services authentication. RSA offers a robust feature set and practical solution.
George Wrenn, CISSP, is a technical editor for Information Security, a graduate fellow at the Massachusetts Institute of Technology and a director of security at a financial services firm.
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