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1 PaperWriting Presenter JiLipingJuly2010 2 1998 9 2002 6NanjingUniversityBachelorDegree InformationManagement System 3 NationalUniversityofSingapore2002 7 2007 1Ph D Degree ComputerScience2006 10 2007 4ResearchAssistant Bioinformatics 4 2007 5 PresentStanfordUniversity CarnegieInstitutionPostdoctoralResearchFellow DepartmentofPlantBiology 5 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 6 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 7 Background Topic Background Topic TimeOriented ApplicationOriented Concept Characteristics Application Importance andetc 8 Background Topic 9 Background Topic 10 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 11 LiteratureReview Motivation NotableMethodSummarization focusonnearestneighbors Comments weakness Motivation againsttheweakness 12 13 LiteratureReview Motivation 14 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 15 AlgorithmOverview Contribution MethodDefinitionPrincipleDescription Howtomakeitbetter Contribution 16 AlgorithmOverview Contribution 17 AlgorithmOverview Contribution 18 Contributions NewConceptNewModelNewAlgorithm MoreEfficient LessMemory Parallelismandetc NewResult SignificantinApplicationDomain 19 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 20 ExperimentOverview ImplementationDataResult 21 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 22 Roadmap 23 Introduction Background Topic 1 2paragraphs LiteratureReview Motivation 1paragraph AlgorithmOverview 1paragraph Contributions 1paragraph ExperimentOverviewRoadmap 1paragraph 24 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 25 RelatedWork MainContent DetailsomenotableworksGivecommentsindividuallyorbygroupSummarizeirrelevantworksinafewwordsHeadandtailIntimeoradvancingorderPuttothebottomthemethodstobecompared 26 27 28 RelatedWork Supplement AddtheheadThereareplentyofcovertchannelmethodsinliterature Here wewillonlyreviewsomenotableworkduetospacelimitation Now Here Inthissection wewillreviewsomenotablemethods previouswork 29 RelatedWork Supplement AddthetailHence wearemotivatedto 30 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 31 Preliminaries ApplyingtopaperwithlotsofdefinitionsThreeComponents OverviewDefinitionsProblemDefinition 32 33 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 34 Algorithm Method OverviewPreliminaries Definitions ModelDescription PutthewholeideainPhasesorStepsEmphaseswhichphase step partmakesthealgorithmoutstandingUserunningexamples figures tables pseudo code Supplementary limitations suggestions futurework 35 Algorithm Overview 36 Algorithm MainContent Phase1Step1Step2Phase2Inthe1ststepInthe2ndstepPhase3 37 Algorithm TrytoMakeitClear AliceandBobwouldtakethefollowingfivestepstotransmitthesecretmessage Step1 AliceandBobcommunicatenormally TheybothrecordthemessagelengthssentbyAlice andmaketherecordasReference Step2 AliceandBobselectalengthlfromtheReferencebythesamerandomalgorithm Step3 Intheithsending AlicesendstoBobamessageoflengthlnext l SUMi TheReferenceisupdatedbyappendinglnext Step4 BobdecodestheithmessageintoWibysubtractinglfromlnext Inourmethod theStep2and3ensurethateachsendingmessagewouldlearnfromthenormalnetworktraffic Reference sothatmessagesfromourchannelhavesimilarlengthdistributionasnormalnetworkmessages Tobetterresistthedetection ourschemecouldbefurtherenhancedthroughthewaythatAliceperiodicallysendstoBobredundantnormalnetworkmessagesduringthetransmission 38 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 39 ExperimentalResults Overview tool data methodstocompareDataDescriptionDataPreprocessingCompareagainstotheralgorithms methods ParameterStudies Optimization 40 ExperimentalResults ExperimentingontheClartnetdataset 9 wecomparedourschemewithGirling s 3 andYao s 8 models andestimatedtheupperboundofourmodel sbandwidth 4 1DatasetClarknetdataset 5 containsthelogsof1 6millionHTTPqueriesfromtwoweeks Wetakethe7239queriesfromClient asthemessagesforourexperiments Ineachquery theaveragesizeoftransmittedmessageis489bytes 39bytesmessage 450bytesheader 41 ExperimentalResults 42 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 43 Conclusion FutureWork SummarizewhatwedidinthepaperMethodExperimentalResultsBenefits Application FutureWork 44 Conclusion FutureWork 45 FiveMainSections Abstract KeywordsIntroductionRelatedWork LiteratureReview PreliminaryAlgorithm Method ExperimentalResultsConclusion FutureWork 46 Abstract MotivationTopic

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