|Exam Name||:||Network Analysis and Troubleshooting|
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This press unencumber became orginally dispensed through SBWire
Albany, ny -- (SBWIRE) -- 02/18/2019 -- laptop networks are utilized almost in each work sector, ranging from company environments and site visitors systems to construction websites and manufacturing vegetation. In such sectors, few inefficiencies may result as a result of definite motives. to be able to evade the considerations, network analysis module (NAM) methods are put to use as gold standard options. As optimizing work move and improving work productivity are two mantras adopted via just about each business, solutions equivalent to NAM are anticipated to be used extra frequently than ever. accordingly, the international community analysis Module market is expected to demonstrate tremendous boom within the following few years.
The international community evaluation Module market can be divided into 5 segmentation classes: part, vertical, organizational measurement, deployment, and location. These may encompass distinct segments, that are defined in detail in the document.
Get pattern reproduction Of This report @ https://www.marketresearchreports.biz/sample/sample/7475
The record presents a comprehensive examine of the world network evaluation Module market which includes a detailed comparison of primary segments categorised beneath numerous categories. The supplier panorama of the market is notably explained via the analysts in an effort to current a clear perception of the business thoughts, developments, and different facets of key corporations.
global network analysis Module (NAM) Market: developments and alternatives
Exposing exclusive guidance, deletion of crucial data with manipulation, and poor site visitors management are few considerations that demand administration to use definite community monitoring solutions. As studied by the analysts, these may act as prime drivers that compel the management to start using NAM. a further component it is anticipated to propel this market comprises managing a largely dispersed network, chiefly in work segments of distributed enterprises that employ an extensive group of individuals. in an effort to competently manage such networks, agencies adapt to systematic community management options reminiscent of NAM.
Optimizing network availability and price mark downs are two extra components that could instant the world network evaluation Module market to rise. here is feasible by way of enhancing asset implementation, which in turn could create lucrative opportunities, especially in the B2B sector, for the growth within the use of NAM.
administration groups in work sectors are pushing more toward enhancing company capabilities. with the intention to preserve their stand on the groundwork of the current competitors, a few groups are resorting to using NAM programs. therefore, altering working styles and the need to use a must-have networking suggestions are expected to be critical drivers of the area network analysis Module market.
The handiest tremendously identifiable restraint for the realm community analysis Module market may well be the high cost of the installation of a network's security programs. besides the fact that children, this state of affairs is soon expected to change with a push towards manufacturing efficient security methods with less costs, coupled with a much less complicated setup.
Request For TOC @ https://www.marketresearchreports.biz/sample/toc/7475
international community evaluation Module (NAM) Market: Regional Outlook
From a regional viewpoint, North america is prophesied to have a radically developed market with regard to technological development. The overseas community evaluation Module market is anticipated to be contributed with a large market share projected to be secured this place. After North america, Western Europe hold the 2nd spot with recognize to market share, specifically as a result of the growth of IT infrastructure in a number of agencies. In Asia Pacific, India and China might dangle main positions with admire to the increase in the adoption of NAM. here's envisaged to be principally because of an increase in the variety of small and medium-scale agencies in the place.
The foreign community evaluation Module market is in line with factors equivalent to optimizing materials, improving utility of systems, and facilitating clean troubleshooting processes. NAM may outcomes in high work productiveness by means of being a flexible answer against scores of network issues.
world community analysis Module (NAM) Market: aggressive state of affairs
The international community analysis Module market can also appear fragmented from an standard viewpoint with numerous businesses competing all over the place the globe. some of the leading corporations in this market are Microsoft business enterprise, Cisco, NetScout, web Crunch, and logic display screen, amongst a few others. a detailed rationalization of these corporations is equipped within the record along with several components that have an effect on their growth available in the market. A forecast is additionally provided in the document that explains how the aggressive panorama may appear in the next few years.
Market segmentation in keeping with geography:
- North the us- Latin the usa- eastern Europe- Western Europe- Asia Pacific together with Japan- center East and Africa
View Full report @ https://www.marketresearchreports.biz/it-and-telecommunication/7475/community-analysis-module-nam-market-research-stories
This file offers access to decisive statistics, comparable to:
- Market increase drivers- factors limiting market growth- latest market developments- Market constitution- Market projections for the arriving years
Key highlights of this record consist of:
- Overview of key market forces propelling and restraining market increase- updated analyses of market developments and technological improvements- Pin-factor analyses of market competition dynamics to offer you a aggressive side- An evaluation of innovations of main competitors- An array of portraits and SWOT evaluation of principal business segments- distinct analyses of industry trends- A well-described technological increase map with an influence-analysis- offers a transparent figuring out of the competitive panorama and key product segments
MRR.BIZ has been compiled in-depth market research facts within the document after exhaustive basic and secondary research. Our crew of able, experienced in-condominium analysts has collated the advice via own interviews and examine of business databases, journals, and reputable paid sources.
The report offers right here assistance:
- Tailwinds and headwinds molding the market's trajectory- Market segments in keeping with items, know-how, and functions- prospects of each section- typical current and feasible future dimension of the market- increase pace of the market- aggressive landscape and key avid gamers' techniques
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- permit key stakeholder's available in the market wager correct on it- take into account the opportunities and pitfalls looking ahead to them- verify the usual increase scope in the near term- Strategize with no trouble with respect to construction and distribution
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About MarketResearchReports.bizMarketResearchReports.biz is a seller of syndicated market reviews, featuring an exhaustive collection of research experiences from main overseas publishers. Our repository is distinct, spanning virtually each industrial sector and much more each class and sub-category in the business. We also give consulting services to allow our purchasers have a dynamic enterprise point of view.
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The vogue towards data center consolidation and the expanding deployment of bandwidth-intensive applications are using the demand for more suitable performance within the core of the commercial enterprise. because of this, IT businesses are unexpectedly deploying Gigabit know-how within the core to be sure adequate throughput and response time for clients across the commercial enterprise. This creates a necessity for community instrumentation that may give both network-layer and software-layer visibility and analysis of all critical traffic within the Gigibit core community. community typical is meeting this growing market demand with the new Sniffer distributed solution.
"we're happy to look the endured enhancements that community customary is making to the Sniffer disbursed platform," stated Frank Lohse, community administrator at prosystems IT GmbH, in Bonn, Germany. "community universal recognizes that a growing variety of IT organizations -- together with our personal -- deserve to have application-layer visibility in a high-pace core community where Gigabit Ethernet is deployed. The new edition four.6 software will provide that degree of visibility."
With the birth of Sniffer disbursed four.6, network widely wide-spread continues to display its leadership in community and utility performance evaluation. besides proposing utility-layer visibility in a Gigabit environment, Sniffer allotted 4.6 also delivers a couple of other new points, together with:
-- Filtering enhancements for managing MPLS (Multi-Protocol Label Switching) site visitors flows at Gigabit speeds
-- The s4100 E2GB and more desirable s6040 systems, which deliver "hardware-assisted" Gigabit Ethernet assist designed for top-speed, high-density environments equivalent to these on the network core
-- potent management application that enables clients to manage all Sniffer platforms from a single console
-- improved support for Modular Decode and knowledgeable Packs, attainable to purchasers with lively aid contracts
Deployed in thousands of businesses international, Sniffer dispensed combines huge protocol decodes, award-winning expert analysis know-how, and brief- and long-term reporting into a magnificent, modular and competitively priced solution. These capabilities enable IT experts to instantly determine, computer screen, measure, manipulate, and unravel performance issues and bottlenecks -- before they influence the performance of the enterprise. due to this fact, Sniffer allotted helps to empower IT organizations, simplify community management projects, and give protection to the extended cost and lifetime of IT property.
About network typical corporation
network common(TM) company, headquartered in San Jose, California, is the global chief in commercial enterprise community and software performance analysis. The community time-honored portfolio contains inventive utility options and clever home equipment, deployed on vital networks hyperlinks all over the dispensed commercial enterprise. collectively, these solutions supply IT specialists with a unified view of community and application performance and enable swift identification and resolution of efficiency complications. For more information on network well-known, dial 408-571-5000 or go to www.networkgeneral.com.
word: network general, Sniffer, and the community standard logo are registered trademarks or trademarks of network general corporation and/or its affiliates in the u.s. and/or other international locations. handiest network general corporation makes Sniffer(R) manufacturer products. All different registered and unregistered logos herein are the only property of their respective homeowners. (C)2005 community conventional company. ALL RIGHTS RESERVED.
network direction analysis equipment like traceroute are effective at examining how individual network gadgets have an effect on the development of packets across a community, however they hardly ever help engineers understand the role that community safety devices play.
Athena safety's new PathFinder network path analysis product presents such visibility into safety infrastructure. network engineers can add configuration facts of firewalls, switches and routers into the device, which generates an offline, virtual mannequin of a network. they could then simulate packet transmission through this community model, and PathFinder predicts how gadget configurations and firewall suggestions will affect packet flows.
After segmenting the DMZ of the network at comfort keep chain Kwik commute, LAN and WAN administrator Chuck Serauskas found out that definite styles of traffic were getting hung up in the segments. He used PathFinder to troubleshoot the issue.
"on the grounds that we received [PathFinder] we now have been using it to troubleshoot… how the course runs through our ASA [Cisco Adaptive Security Appliance]," he pointed out. "For PCI we now have these days cut up our DMZ into four diverse DMZs. once we first set it up, we did not have the routing exactly all the way through it, and our VMware man was having some considerations with one of the crucial servers that we had in the DMZ."
With PathFinder's offline network path evaluation aspects, Serauskas used his machine configurations to create a mannequin of his community and sent simulated packets throughout the DMZ. He saw that the ASA changed into intercepting certain packets as they passed via it. He examined the guidelines on the ASA and discovered that some entries had been sending the packets via an older path that had gone unused before segmentation.
"We simply had to trade the course on the DMZ — make the correct changes on the firewall for it — and once we made the changes to the config, we ran a new check [in PathFinder]," he observed. "once we knew the IP that [the VMware admin] was trying to get via had traveled as it should be, we made the exchange [in production].
network route analysis equipment hardly trust security
network engineers have many equipment at their disposal for network traffic evaluation, from simple utilities like traceroute to larger systems management products with network course analysis capabilities, reminiscent of Opnet and Compuware. besides the fact that children, each one of these equipment pay attention to community devices and hosts— now not community security devices.
"I've heard plenty of battle studies where a firewall rule exchange ended up making a efficiency problem for an application. it be no longer consistently a spot where you seek a performance difficulty, but it surely can have an impact,” referred to Jim Frey, analysis director for network management at commercial enterprise management associates.
In some IT agencies, the admins who use community site visitors analysis tools and community direction evaluation tools lack fluency in firewall rules and settings, so a tool that may provide a visual model of a firewall's effect on community paths may also be effortless.
"Firewall suggestions get prolonged, with the intention to be capable of give some visible representation of how our firewall works is a good option to people who do not are living in firewall code every day," spoke of Richard Barretto, senior assistance safety analyst with the Healthcare govt Billings solution community at banking expertise provider FIS global.
Barretto recently purchased PathFinder and FirePAC, Athena's firewall management product. He received the equipment to be able to enhance his corporation's firewall auditing processes, however he also acknowledges PathFinder's competencies as a community site visitors evaluation and troubleshooting tool.
"which you could really troubleshoot certain site visitors that goes from one supply to a destination, and in accordance with rules settings figure out the place site visitors could stop or if there are any gaps," he stated.
finding blunders with network path evaluation
PathFinder is also advantageous for locating gaps in network security that permit packets to go the place they shouldn't.
"when we seem over a shopper's network, we all the time count on there is going to be some point of network safety with a purpose to fail, and the bad man will get into some factor of the network if he tries hard satisfactory." stated Larry Rosen, safety analyst with suggestions security services enterprise Jacadis. "With a device like PathFinder, we will look and say if somebody goes in from this degree, the place might they go? [We use it] to are trying to investigate threats that a particular hole will open on the network. So [our clients] can tighten up their suggestions in the event that they deserve to."
Many groups lack a full-time firewall supervisor, and non-specialists will commonly introduce ad hoc suggestions to a firewall while checking out a new application on a community, Rosen mentioned. Then they neglect to get rid of that rule after the look at various is complete. That rule trade can potentially open up a dangerous vulnerability. A community traffic evaluation device with respectable visualization features can element a network to such a problem immediately."
Two different firewall lifecycle management carriers, Skybox protection and RedSeal techniques, have community route evaluation capabilities similar to Athena PathFinder, however they are part of larger product suites, whereas PathFinder is a standalone product that community engineers devoid of direct control over firewall infrastructure might use for troubleshooting, Rosen spoke of.
"basically, network engineers may introduce PathFinder into an basic trade administration system," mentioned Jerod Brennen, senior safety analyst at Jacadis. "if you had a router config file or firewall config file that represented a publish-exchange world, you may run queries in opposition t certain important course functions to consider even if that site visitors is going to circulate or no longer."
let us know what you feel in regards to the story; e mail Shamus McGillicuddy, information Editor.
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This press release was orginally distributed by SBWire
Albany, NY -- (SBWIRE) -- 02/18/2019 -- Computer networks are utilized almost in every work sector, ranging from corporate environments and traffic systems to construction sites and manufacturing plants. In such sectors, few inefficiencies may result due to certain reasons. In order to avoid the issues, network analysis module (NAM) systems are put to use as optimal solutions. As optimizing work flow and improving work productivity are two mantras followed by almost every business, solutions such as NAM are expected to be used more often than ever. Thus, the global Network Analysis Module market is anticipated to show significant growth in the next few years.
The global Network Analysis Module market could be divided into five segmentation categories: component, vertical, organizational size, deployment, and region. These could include different segments, which are explained in detail in the report.
Get Sample Copy Of This Report @ https://www.marketresearchreports.biz/sample/sample/7475
The report presents a comprehensive study of the global Network Analysis Module market which includes a detailed evaluation of major segments classified under various categories. The vendor landscape of the market is extensively explained by the analysts in order to present a clear insight of the business strategies, developments, and other aspects of key companies.
Global Network Analysis Module (NAM) Market: Trends and Opportunities
Exposing confidential information, deletion of important data with manipulation, and poor traffic management are few issues that demand management to use certain network monitoring solutions. As studied by the analysts, these could act as prime drivers that compel the management to start using NAM. Another factor that is anticipated to propel this market involves managing a largely dispersed network, especially in work segments of distributed enterprises that employ an extensive group of people. With a view to properly manage such networks, organizations adapt to systematic network management solutions such as NAM.
Optimizing network availability and cost savings are two more factors that could prompt the world Network Analysis Module market to rise. This is possible by improving asset implementation, which in turn could create lucrative opportunities, especially in the B2B sector, for the growth in the use of NAM.
Management groups in work sectors are pushing more toward improving business capabilities. In order to maintain their stand on the basis of the existing competition, several organizations are resorting to the use of NAM systems. Thus, changing working styles and the need to use vital networking strategies are expected to be important drivers of the world Network Analysis Module market.
The only significantly identifiable restraint for the world Network Analysis Module market could be the high cost of the installation of a network's security systems. However, this scenario is soon expected to change with a push toward manufacturing efficient security systems with less costs, coupled with a less complex setup.
Request For TOC @ https://www.marketresearchreports.biz/sample/toc/7475
Global Network Analysis Module (NAM) Market: Regional Outlook
From a regional perspective, North America is prophesied to have a substantially developed market with regard to technological advancement. The international Network Analysis Module market is expected to be contributed with a large market share projected to be secured this region. After North America, Western Europe hold the second spot with respect to market share, especially due to the improvement of IT infrastructure in various companies. In Asia Pacific, India and China could hold leading positions with respect to the growth in the adoption of NAM. This is envisaged to be mainly due to a rise in the number of small and medium-scale businesses in the region.
The international Network Analysis Module market is based on factors such as optimizing resources, enhancing utility of systems, and facilitating smooth troubleshooting processes. NAM could result in high work productivity by being a versatile solution against scores of network problems.
Global Network Analysis Module (NAM) Market: Competitive Scenario
The worldwide Network Analysis Module market may appear fragmented from an overall perspective with numerous companies competing all over the globe. Some of the main companies in this market are Microsoft Corporation, Cisco, NetScout, Net Crunch, and Logic Monitor, among several others. A detailed explanation of these companies is provided in the report along with several factors that affect their growth in the market. A forecast is also offered in the report that explains how the competitive landscape could appear in the next few years.
Market segmentation based on geography:
- North America- Latin America- Eastern Europe- Western Europe- Asia Pacific including Japan- Middle East and Africa
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Social Profiling is how Media Companies identify their audience, commission editorial, sell ad space, and generally base their business models.
Here’s 3 quick facts which make the situation stark.
· Social Profiling is 6x more likely to be 100% wrong than right (that’s from the main researchers that do this stuff btw)
· The industry is worth around £60bn in the UK alone
· Much of the basic infrastructure and data trade required will be illegal from May 2018.
Social Profiling rests on some key presumptions that in turn rely exclusively on some very tenuous academic discoveries. Many of the academics themselves point to the inability to use these methods in anything other than very isolated academic applications; and bridle at the idea that they can be used at scale with success.
How similar are you really, objectively, to your spouse, or your best friends or family? And yet despite the similarity (or actual lack of) how similar is your behaviour? So why do we jump to the conclusion that extrapolating this over a wider audience is more correct?
You begin to see why conversion rates are pitifully low.
I’m sure everyone had the same reaction when they first saw conversion metrics, or when they explained conversion metrics for the first time. That 5% — yeah that’s meant to be good. Yep the best cutting edge social profiling and micro targeting technology out there gets about 5% conversion.
The patent fact of the matter is that it doesn’t work as well as it’s marketed to work.
In addition to this, in May the EU’s GDPR rules will come into force — precluding the trade of data collected without opt-in consent. That means no more demographic analysis from third parties, no more collecting of your own audience, and definitely no more selling of that data.
For those businesses that rely on this it’s safe to say it’s curtains. Unless you change.
Enter the contender.
Network analysis is about identifying the communities that exist in your audience. By using only those who want to be identified with content and topics you can create clear Discovery and Distribution paths — that is, those paths to discover what matters most, and the paths to get your content out to those interested most.
That’s the simple explanation here’s the detailed one:
If traditional social sciences measure personal attributes (monadic variables) then network science is the study of gaps between people (dyadic variables)
Social connection may be one of these, but so could miles between cities, or being interested in the same topic.
A good example is whether two articles share a ‘relation’ by having been visited one after the other. This might be one way (i.e., from A to B but not in return) or undirected/mutual.
Compare this with a traditional profiling method, which would see a dataset of individuals as the rows, and the columns as the properties of those individuals, including the pages they have visited. Alternatively, you could have all pages as rows, and properties such as number of visitors, demographic characteristics etc as columns. The relations here are not obvious, and we certainly can’t visualise it in the same way. Instead we must rely on correlations and patterns in the values. Inherently this drives more intrusive data mining, as the more data the better picture (apparently).
The fundamental basis of network analysis is to measure the network in front of you — not construct lite-science relationships between demographics and psychographics based on messy personal data that requires nefarious (soon to be illegal) mining.
When we collect data for network science the important distinction is that we collect data about the space in between people– and not personal attributes and private data. Data might include how many people made the same journey from A to B (notably — not attributable data, therefore no invasion, and no consent required)
Only those who want to be identified with a topic — not everyone, and certainly not anyone who doesn’t want to.
Only their interest — no personal info; not their other likes, gender, age, location, how many kids they have, what they enjoy watching etc.
The core belief is that for people engaged in a subject — telling the publishers that they are interested in it is not a great leap of trust and commitment. Nor is it hard to take that away should you change your mind.
Not only is it more accurate, it is logically understandable, easier to gather consent and build the model of the network, and fundamentally safer and more cooperative with audiences.
It’s cheaper; it can be done in-house — not siloed away with big tech companies who hold monopolies.
It’s inherently insightful — it allows for discovery and distribution strategy that makes perfect sense.
It’s very nature is to cultivate strong loyal communities, not rear readers as farm fodder.
The ability to model a cross-platform network (i.e., from IG, Twitter, Facebook and YT) is impossible without buy-in from consumers. To do this on scale with all consumers results in a messy network that is too large to derive any insight from, and would require automated privacy invasion, or the individual consent from each person on a granular level.
The solution is to only include those individuals who already play central roles in the network — and format the network from here. No need to anticipate personalities and beliefs based on flimsy theoretical correlations and covariances and no need for sampling and extrapolation.
Measure what’s in front of you.
How does it work then?
What follows is the three basic networks required to derive value for publishing; the data required to model them; and what they show us.
Ever wanted to visualise exactly how each piece of content fits in the larger taxonomy of content?An example of the vizualisation ofvisit patterns for a subgraph of Wikipedia pages.
Modelling how each content piece relates and interacts with others — to allow us to identify the pieces more important in a journey, or cluster of topics. This allows us to cull the ones taking up space, or promote those that get traction within the readership.
No personal data on users is collected or needed at all. It’s built on data about the articles (i.e. subject, sentiment length etc) and the number of visits — therefore no opt-in or opt-out consent.
How each user relates to the content nodes.Credit — Borgatti, Everett et al
This method allows us to appropriately model which articles to show next, based not on profiling, sampling and targeting, but on the fact that, for example, 6 of 8 articles have been read, thus 2 similarly related ones may be more relevant than others. Or that interest in 2 separate topics is frequent. and combine these, or look at exactly why. This insight is great for editorial purposes, as directions to plumb — for Aud Dev, as we get to cultivate and nurture a community with deep nuanced interest, or for commercial as it opens new markets for cross-pollination. Combining this net with the above gives even more scores to the appropriateness of articles. And modelling the structural overlap, or cross-pollination, of a user between content networks allows us to curate content appropriately.
No other data except for confirmation by the user (opt-in) that the publisher may acknowledge the articles that have been read. Using a simple opt-in consent box; much like the cookies box used ubiquitously is all that is necessary here. This is basically browsing history but just on your site.
When Big Data people say data helps make intelligent recommendation systems — turns out more detailed social data only gets in the way of very straightforward user and content network models. The simplest approach — measure the network in front of you — is the most powerful, user-friendly and cheapest.
User — UserBlue = our thought-leaders, yellow = the audience they bring with them
The User-User networks works by looking at those individuals who are thought-leaders, or influential in a network; who that want to be identified as such, and want to work with publishers to be part of the conversation.
We look at how the thought leaders interact with each other and with the publisher’s content, and how they use different types of engagement — sharing, likes, comments, in combination with the issues and topics they discuss. This works on the premise that, instead of getting mass consent from the whole population; getting detailed cooperation and building a relationship with those who actively want to start a two-way beneficial relationship.
The level of personal data is minimal — beyond a screename and internal identifier we simply need consent to consider the individual interested in a subject.
The information about interactions is not personal data about the nodes, but rather edge attributes, and gives the network its structure. We use only publicly available data and even then, only with permission from the users.
It doesn’t need to go any further than this — no amount of data on personal issues gives any clearer picture than the shape of the network in front of us.
A User-User network is the model of the users themselves that form a community around a topic. How they interact, the topics and issues they discuss and the thought leaders among them enable us to define paths for both Discovery and Distribution. Discovery is identifying those issues that are meaningful. The issues prone to go viral, why they go viral and the manner of diffusion is modellable here. Distribution is closely linked, and allows us to strategize about which paths and communities will best appreciate comments and content on certain topics; when to publish them and in what format.
Hopefully this gives a good start point to understand how Network Science can take over from Social Profiling and micro targeting.
I’ve been working recently with a handful of publishers, and am looking to do the same for as many more as I can. Feel free to reach out to me on Twitter at Samuel Cooledge to ask Qs or more details.
Network path analysis tools like traceroute are effective at examining how individual network devices affect the progress of packets across a network, but they rarely help engineers understand the role that network security devices play.
Athena Security's new PathFinder network path analysis product offers such visibility into security infrastructure. Network engineers can upload configuration data of firewalls, switches and routers into the tool, which generates an offline, virtual model of a network. They can then simulate packet transmission through this network model, and PathFinder predicts how device configurations and firewall rules will affect packet flows.
After segmenting the DMZ of the network at convenience store chain Kwik Trip, LAN and WAN administrator Chuck Serauskas discovered that certain types of traffic were getting hung up in the segments. He used PathFinder to troubleshoot the problem.
"Since we got [PathFinder] we've been using it to troubleshoot… how the path runs through our ASA [Cisco Adaptive Security Appliance]," he said. "For PCI we've recently split our DMZ into four different DMZs. When we first set it up, we didn't have the routing exactly right through it, and our VMware guy was having some issues with some of the servers that we had in the DMZ."
With PathFinder's offline network path analysis features, Serauskas used his device configurations to create a model of his network and sent simulated packets through the DMZ. He saw that the ASA was intercepting certain packets as they passed through it. He examined the rules on the ASA and discovered that some entries were sending the packets through an older path that had gone unused before segmentation.
"We just had to change the path on the DMZ — make the proper changes on the firewall for it — and once we made the changes to the config, we ran a new test [in PathFinder]," he said. "Once we knew the IP that [the VMware admin] was trying to get through had traveled correctly, we made the change [in production].
Network path analysis tools rarely consider security
Network engineers have many tools at their disposal for network traffic analysis, from simple utilities like traceroute to larger systems management products with network path analysis capabilities, such as Opnet and Compuware. However, most of these tools concentrate on network devices and hosts— not network security devices.
"I've heard plenty of war stories where a firewall rule change ended up creating a performance problem for an application. It's not normally a place where you look for a performance problem, but it can have an impact,” said Jim Frey, research director for network management at Enterprise Management Associates.
In some IT organizations, the admins who use network traffic analysis tools and network path analysis tools lack fluency in firewall rules and settings, so a tool that can provide a visual model of a firewall's effect on network paths can be handy.
"Firewall rules get lengthy, so to be able to provide some visual representation of how our firewall works is beneficial to those who don't live in firewall code every day," said Richard Barretto, senior information security analyst with the Healthcare Government Billings Solution Group at banking technology provider FIS Global.
Barretto recently purchased PathFinder and FirePAC, Athena's firewall management product. He acquired the tools in order to improve his organization's firewall auditing processes, but he also recognizes PathFinder's potential as a network traffic analysis and troubleshooting tool.
"You can actually troubleshoot certain traffic that is going from one source to a destination, and based on rules settings figure out where traffic might stop or if there are any gaps," he said.
Finding mistakes with network path analysis
PathFinder is also useful for discovering gaps in network security that allow packets to go where they shouldn't.
"When we look over a client's network, we always assume there is going to be some aspect of network security that will fail, and the bad guy will get into some point of the network if he tries hard enough." said Larry Rosen, security analyst with information security services firm Jacadis. "With a tool like PathFinder, we can look and say if someone goes in from this level, where could they go? [We use it] to try to analyze threats that a particular hole will open on the network. So [our clients] can tighten up their rules if they need to."
Many companies lack a full-time firewall manager, and non-specialists will often introduce ad hoc rules to a firewall while testing a new application on a network, Rosen said. Then they forget to remove that rule after the test is complete. That rule change can potentially open up a dangerous vulnerability. A network traffic analysis tool with good visualization features can point a network to such a problem quickly."
Two other firewall lifecycle management vendors, Skybox Security and RedSeal Systems, have network path analysis capabilities similar to Athena PathFinder, but they are part of larger product suites, whereas PathFinder is a standalone product that network engineers without direct control over firewall infrastructure could use for troubleshooting, Rosen said.
"In fact, network engineers could introduce PathFinder into an overall change management process," said Jerod Brennen, senior security analyst at Jacadis. "If you had a router config file or firewall config file that represented a post-change world, you could run queries against certain critical path services to evaluate whether that traffic is going to flow or not."
Let us know what you think about the story; email Shamus McGillicuddy, News Editor.
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