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  • Forensic Methods for Detecting Image Manipulation -Copy Move

    Anthony SutardjaOmar RamadanYan Zhao

    Electrical Engineering and Computer SciencesUniversity of California at Berkeley

    Technical Report No. UCB/EECS-2015-84http://www.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-84.html

    May 13, 2015

  • Copyright 2015, by the author(s).All rights reserved.

    Permission to make digital or hard copies of all or part of this work forpersonal or classroom use is granted without fee provided that copies arenot made or distributed for profit or commercial advantage and thatcopies bear this notice and the full citation on the first page. To copyotherwise, to republish, to post on servers or to redistribute to lists,requires prior specific permission.

  • Table of Contents For the UC Berkeley Master of Engineering Capstone Project 1. Introduction 2 2. Trends, Market, & Strategy 3 3. Industry 6 4. Intellectual Property Law 12 5. Works Cited 17 6. Appendix 21 7. Individual Technical Contribution - Anthony 25 8. Individual Concluding Reflection - Anthony 42

    Forensic Methods for Image Manipulation Detection 1

  • Introduction Problem Statement Forthepastcentury,photographshaveservedasreliableprimarysourcesofevidence,butthatis

    quicklychanging.Photomanipulationtoolshavebecomewidespreadanditiseasytomanipulate

    images.PhotomanipulationstoolssuchasAdobePhotoShopaffordgreaterartisticexpression,and

    enableuserstocreatemanipulationsthatchallengethelimitsofournaturalperception.Thedifference

    betweenauthenticandmanipulatedphotoshasbecomehardertodistinguish,andcanonlybedetected

    bydigitalforensicexperts.Theimageforensicscapstoneprojectaimstocreateanonlinesoftware

    servicethatperformstheworkofforensicanalysts,andvisualizesandanalyzesthepossible

    manipulationsthatmayhavebeenperformedonanimage.Ourgoalistoempoweranybodytoperform

    imageforensicanalysis,andhelpincreaseourfaithindigitalcontent.

    Ourcapstonehascompletedaprototypeofthisimagemanipulationdetectionwebservicethathelpsa

    useridentifyfraudulentfeatureswithinanimage.Althoughfullyfunctional,ourserviceisnotyetready

    forcommercializationasmanyofthetechniquesarestillunderresearch.Inthefollowingsections,we

    performamarket,industry,andintellectualpropertyanalysisonhowwewouldhypotheticallytakeour

    onlinesoftwareservicetomarket.

    Forensic Methods for Image Manipulation Detection 2

  • Trends, Market, and Strategy Trends Therearestrongtechnologicalandregulatorytrendsthatrevealagrowingneedforeffectiveimage

    forensicssolutions.Smartphonesandthecamerasembeddedwithinthemhaverapidlybecomethemost

    popularmethodofphotocapture.AccordingtothePewResearchCenter,thepercentageofU.S.adults

    whoownsmartphonesjumpedfrom35%in2011to56%in2013(Smith,SmartphoneOwnership

    2013).Thisrelentlessgrowthinsmartphoneadoptionwillcontinue,especiallyinregionsoutsideof

    theUnitedStates(Dulaney5).Morepeoplehavetheabilitytotakedigitalphotos,asseventysix

    percentofsmartphoneuserssaytheyusethesmartphonescamerastotakephotos(Smith,Mobile

    Access2010).Thisinstantandconvenientphotosnappingabilityisbecomingrecognizedbymany

    institutionsasawayofdocumentingincidentsandfilingclaims(HowtoDocumentAutoAccident

    Damage.)(Thomson3).However,asweincreaseourrelianceondigitalphotography,webecome

    susceptibletofraud.Digitalimageeditingsoftwareiseasytoobtainandisgrowinginutilizationas

    well(Kahn9).Withthegrowingtrendinsmartphoneadoptionandtheriseinaccesstoimageediting

    software,digitallymanipulatedimageswillbecomecommonplace.

    Duetothegrowingtrendofdigitalimagedocumentation,theregulatorylandscapeisalsochanging

    withnewcourtprecedentsthatarebeginningtorequireverifyingtheauthenticityofdigitalimages.In

    Israel,anewlawmakesitillegaltouseimagesinadvertisementsthathavebeenretouchedtomake

    modelslookthinnerwithoutprintingadisclosureonthepicture(PictureImperfect).IntheUnited

    States,theFederalRulesofEvidencenowrequiretheauthenticationofdigitalimagesbeforetheyare

    usedasevidenceincourt(Thomson3).Thegrowingtrendinregulatorymeasuresforverifyingdigital

    imageswillonlycontinuetopushtheneedforimageforensicsservice.

    Hence,identifyingthesetrendshashelpedusrealizethecustomersoftheimageforensicsindustry.In

    journalism,weseetheneedtoverifydigitalimagesforjournalisticintegrity.Inthecourtroom,wesee

    theneedtoverifydigitalimagestoestablishevidentiaryauthenticity.Ininsurance,weseetheneedto

    identifyfraudulentdigitalinsuranceclaims.Asmoreservicesbegintorelyondigitaldocumentation,

    theneedforsuchmediaverificationserviceswillincrease.

    Forensic Methods for Image Manipulation Detection 3

  • Market Potential Markets Thereareseveralmarketsinwhichanimageforensicssolutionisgreatlyneeded.

    Ourtechnologyhasseriousimplicationsforthepressimagemarket.Theexplodinggrowthofthe

    Internetanddigitalcontenthasempoweredcitizenjournalismandtransformedthepressindustrywith

    exclusiverichmediacollections.Withthisgrowth,presscompaniesnowhavetheadditionalchallenge

    ofmaintainingtheircredibilitybyvalidatingmediafromnewunverifiedsources.Photoeditorsatsuch

    institutionsworktoensurethatonlygenuinephotosarepublished,butwithadvancededitingtools,

    evenanexperiencedanalystcanfailtoidentifyimagemanipulations.The$32billiondollarnewspaper

    industrytakesphotomanipulationasaseriousthreatbecauseofthedamageitbringstotheircredibility

    (McKenna).Theirzerotolerancepolicytowardsphotomanipulationfrequentlyresultsinhundredsof

    thousandsofdollarsinlosseseachmanipulatedphotoisissuedamandatorykillthatalertsall

    affectedcustomerstocontroldamages(Lum).Theinvolvedphotographersareusuallyterminatedsuch

    asinthecaseofGettyfreelancerMarcFeldman(Lum),L.ATimesstaffphotographerColinCrawford

    (Irby),orReutersfreelancerAdnanHajj(AlteredImagesPromptPhotographersFiring).

    Anotherpotentialmarketresidesinthecourtoflaw.Admittingmanipulatedphotographicevidencein

    courtisbothagrowingtrendandagrowingconcern.Perjuryisnotuncommon,andpoliceofficersare

    estimatedtocommitperjurytwentytofiftypercentofthetimeonfourthamendmentissues(Slobogin).

    Lawyersalsocommitperjury,andevengoodlawyersandareuntruthfulintheirprofession.Asit

    stands,theauthenticityofphotographsiscontingentonthehonestyofthewitnesses.Animage

    forensicsexpertisonlycalleduponwhentherearenowitnessestotestifyinalawsuitorwhenthe

    photographicevidencehasitsintegritychallenged(Kashi).Otherwise,thereisnostandardprocedureto

    havethephotoevidencethoroughlyvetted.The$400billiondollarlegalindustryneedsabetterwayto

    admitphotographicevidenceinacourtoflawthatismorerobustthanasingletestamentofthetruth

    (Novet).Weseeourimageforensicsoftwareasanopportunitytochangethewayphotoevidenceis

    processed.

    Forensic Methods for Image Manipulation Detection 4

  • Segmented Market Entry Thelastmarketthatwehaveidentifiediswithinsurancecompanies.Ourcapstoneteamhasdecidedto

    focusoncateringourimageforensicssoftwareservicetowardstheinsurancesegmentduetothegreat

    valuewewillprovidetoinsurancecompanies.Thisvaluestemsfromthemajorlossesinsurance

    companiesfaceduetofraudulentclaims.Whiledigitallydocumentedphotographyanddocumentation

    hasmadeitmorecosteffectivefortheinsuranceindustrytosurveydamages,ithasexposedthemto

    significantlosses.Thisshifttowardsdigitalevidencehasmadeiteasiertotamperwithphotographsto

    exaggerateorfabricateinsuranceclaims.Onestudyfoundthatoneinsevenhundredgeneralinsurance

    claimshasbeendigitallyaltered,andoneinseventyfivepropertydamageinsuranceclaimshasbeen

    digitallyaltered(PictureImperfect).Thesedigitallyalteredinsuranceclaimsaccountforasignificant

    portionofthe$40billiondollarslostbytheinsuranceindustryeveryyearintheUnitedStates(FBI).

    Thesemonumentallossesindicatethatinsurancecompanieshavestrongneedsforinnovativewaysto

    combatfraudulentclaims.Ourimageforensicssoftwareseekstoaddressthisproblembyhelping

    insurancecompaniesidentifyfraudulentclaimsaccurately,andinacosteffectivemanner.

    Marketing Strategy Product Thedetectionofmanipulatedimagesisanimportantproblemthatrequirestheconsultationofhighly

    specializedforensicexperts.Giventhegrowingnatureofthisproblem,weproposeaservicethatputs

    theanalyticalpowerofimageforensicmethodsinthehandsofthecommonuser.Wegeneratedetailed

    reportsthatcanbeinterpretedbynonexperts,effectivelyallowinglowerlevelanalyststocreatemore

    valuewhilerelievingtheworkloadsofbusyforensicexperts.

    Ourproductincreasesthecapacityofanalystsitprovidesthemwithforensicinformationthathelps

    themmakeinformeddecisionswhenevaluatingclaims.Whileimagessubmittedwithaclaimareonlya

    portionoftheevidencethatanalystsusetobasetheirdecisions,theinformationweprovidehelpsthem

    identifyandflagsuspiciousclaimsforfurtherreview,ultimatelyenablingthemtopreventmorefraud.

    Forensic Methods for Image Manipulation Detection 5

  • Value Guarantee Thelargestriskforourcustomersisanegativereturnoninvestment,inthatthecostofourplatformis

    notexceededbythevalueoffraudthatwestop.Toreducethisrisk,andpromotethesaleofour

    service,ourstrategyistominimizethesoftwareacquisitionrisksforourcustomers.Wecanreducethe

    switchingcostsbysupplyingourownforwarddeployedengineerstointegratewithourcustomers

    softwarestacksandourownsupportteamtoprovidetrainingservices.Furthermore,withefficiencyour

    serviceoffersanditseffectivenessincombatingfraud,wecanofferaguaranteedreturnoninvestment. Customer Outreach Customeracquisitionisthelargestchallengethatwewillface.Giventhebusinesstobusinessnatureof

    ourbusinessmodelandthatcustomersarelikelytohavealargebureaucracywithseveraldecision

    makers,oursalestimelinewilllikelytakemonths.Togenerateleads,weplantoattenddigital