Monitoring Network Traffic with Radial Traffic Analyzer

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1 MonitoringNetworkTraffic withradialtrafficanalyzer DanielA.KeimFlorianMansmannJörnSchneidewindTobiasSchreck IEEESymposiumonVisualAnalyticsScienceandTechnology,2006 StefanHeinz SeminarVisualAnalytics SummerTerm2008

2 Motivation Internethasbecometheinformationmediumoffirst resort Eachhostonthenetworkfacesdifferentthreatsinthis environment Maliciouscode Denial of serviceattacks Attemptstohijackamachine

3 Motivation Howcanweidentifysuchthreats? Whatkindofdataistransferredbetweenmycomputer andothercomputersonthenetwork? localnetwork localhost internet

4 Motivation NetworkMonitoring Surveillanceofimportantperformancemetrics Goal:supervisefunctionality,detectandprevent potentialproblems,developeffectivecounter measuresforanomaliesandsabotage

5 DataSet Communicationdataiscomplex Largeamountsofdata Real timedata Interrelationshipsbetweencommunication connections Relationshipsmayvaryovertime

6 DataSet TechnicalBackground TCP/IPReferenceModel 1 ApplicationLayer 2 PresentationLayer 3 SessionLayer 4 TransportLayer 5 NetworkLayer 6 DataLinkLayer 7 PhysicalLayer 1 ApplicationLayer 2 PresentationLayer 3 SessionLayer 4 TransportLayer 5 NetworkLayer 6 DataLinkLayer 7 PhysicalLayer

7 DataSet TechnicalBackground TCP/IPReferenceModel 1 ApplicationLayer 2 PresentationLayer 3 SessionLayer 4 TransportLayer 5 NetworkLayer 6 DataLinkLayer 7 PhysicalLayer allowsmappingtoapplications packetlevel TCP,UDP IP Ports IP Address MAC Address 80(http)

8 DataSet Attributes Time SourceIPaddress&port DestinationIPaddress&port Payload

9 RelatedWork StephenLau TheSpinningCube ofpotentialdoom Communicationsof thacm,2004

10 RelatedWork AnitaKomledietal. AUser CentricLookat Glyph BasedSecurity Visualization IEEEWorkshopon Visualizationfor ComputerSecurity, 2005

11 RelatedWork StefanoForestietal. VisualCorrelationof NetworkAlerts. IEEEComputer Graphicsand Applications,2006

12 RelatedWork Howdoesthisapproachdifferfromtheseworks? Bringtogetherthecomplementingpiecesof information Easierreadingandinterpretation Easier to understandmetaphors

13 RadialTrafficAnalyzer Layout Attributesaremappedto differentrings Userselectsimportant attributestobedisplayed intheinnerrings Frominsidetooutsidethe attributesareused successivelyforgrouping andsorting

14 RadialTrafficAnalyzer Whyaradiallayout? Supportsbetterthetaskoffindingsuspiciouspatterns Userisnotmisguidedtoplacemoreimportanceonan itemduetoitspositionsontheleftorright

15 ColoringConcept Specialcolors Brightnessfor secure/unsecured Usesdistinctcolors foripadressesand ports

16 RadialTrafficAnalyzer Interactivity Positioningandthusimportancewithinthesorting ordercanbechangedusingdrag&dropoperations Tooltipsareusedtodisplaythefulllabelincaseof smallsegmentsandadditionalinformation(hostname, possibleapplicationprograms)

17 RadialTrafficAnalyzer Interactivity Detailedinformationforasegmentisaccessibleusing apopupmenu Differentmeasures:transferredbytes,numberof connections,numberofsessions Mouseclickfilters/discardsalltrafficwiththechosen attribute

18 RadialTrafficAnalyzer Flexibility

19 CombiningRTAwithGeospatialDisplays IdeaforHistoMap RetrievecountrynamesforIPaddressesusing Maxmind'sGeoIPDatabase Usesquarifiedtreemaplayout Sizeofrectanglescorrespondstotrafficvolume

20 CombiningRTAwithGeospatialDisplays

21 InteractiveExplorationofDataTrafficwith HierarchicalNetworkMaps FlorianMansmannSvetlanaVinnik IEEETransactionsonVisualizationandComputerGraphics,2006

22 HierarchicalNetworkMaps Displaythedistributionofsourceandtargetdatatraffic ofnetworknodes Visualizationofportactivity Alsoaspace fillingtechniquetreemap

23 HierarchicalNetworkMaps

24 HierarchicalNetworkMaps Layout Squarifiedtreemap Togetanalmoststaticmaplayout,thetotalsizeofthe networkanditscomponentsisused(userorientation) Nodesoncontinentandcountrylevelpreservetheir relativegeographicalposition NodesontheotherlevelsaresortedbyIPaddresses

25 HierarchicalNetworkMaps

26 HierarchicalNetworkMaps

27 HierarchicalNetworkMaps Filters Typeofload(packetssent,receivedortotal) Timeframe Portorportcluster Protocol

28 HierarchicalNetworkMaps Largeamountsofdata Itturnedouttobeinfeasibletoprocesstheentire networkdata Aggregationentrieswereused(#sessions,#packets transferred,bytestransferred) Usageofdatawarehousetechniques(OLAPcubes) SplitthelogintoaShortTermLog,MiddleTermLogand LongTermLog

29 HierarchicalNetworkMaps DescendingtothePixelLevel

30 HierarchicalNetworkMaps Interaction Usercanchoosewhichregionofthenetworkshould beinvestigatedfurther Drill down/roll up Additionalinformationviapopupmenu(interactive time,host,andportactivitydiagrams)

31 HierarchicalNetworkMaps

32 HierarchicalNetworkMaps Pros Integrationofgeographicalinformationwithaclever layout Nicedataoverview Cons Needsalotofdisplayspacedependingonthe granularitylevel Integrationofdetails

33 CombiningRTAwithGeospatialDisplays

34 RadialTrafficAnalyzer Animationovertime

35 RadialTrafficAnalyzer Animationovertime

36 RadialTrafficAnalyzer Animationovertime

37 RadialTrafficAnalyzer Animationovertime

38 RadialTrafficAnalyzer Classification

39 RadialTrafficAnalyzer Pros Easymetaphor(e.g.fastperceptionofthetraffic composition) Goodcolorscheme Combinationofmachinetechniquesandhuman capabilities

40 RadialTrafficAnalyzer Cons Displayspace/useoftooltips(especiallywhen displayingbothvisualizationsatonce) Noexplanationofthedatapreprocessingand performance

41 Summary

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