Computational Intelligence in Digital Forensics: Forensic Investigation and Applications PDF
Preview Computational Intelligence in Digital Forensics: Forensic Investigation and Applications
Studies in Computational Intelligence 555 Azah Kamilah Muda Yun-Huoy Choo Ajith Abraham Sargur N. Srihari Editors Computational Intelligence in Digital Forensics: Forensic Investigation and Applications Studies in Computational Intelligence Volume 555 Serieseditor JanuszKacprzyk,PolishAcademyofSciences,Warsaw,Poland e-mail:[email protected] Forfurthervolumes: http://www.springer.com/series/7092 AboutthisSeries The series “Studies in Computational Intelligence” (SCI) publishes new develop- mentsandadvancesinthevariousareasofcomputationalintelligence—quicklyand withahighquality.Theintentistocoverthetheory,applications,anddesignmeth- odsof computationalintelligence,as embeddedin the fields of engineering,com- puterscience,physicsandlifesciences,aswellasthemethodologiesbehindthem. Theseriescontainsmonographs,lecturenotesandeditedvolumesincomputational intelligence spanningthe areas of neuralnetworks, connectionistsystems, genetic algorithms,evolutionarycomputation,artificialintelligence,cellularautomata,self- organizingsystems,softcomputing,fuzzysystems,andhybridintelligentsystems. Ofparticularvaluetoboththecontributorsandthereadershiparetheshortpublica- tiontimeframeandtheworld-widedistribution,whichenablebothwideandrapid disseminationofresearchoutput. · Azah Kamilah Muda Yun-Huoy Choo · Ajith Abraham Sargur N. Srihari Editors Computational Intelligence in Digital Forensics: Forensic Investigation and Applications ABC Editors AzahKamilahMuda AjithAbraham DepartmentofSoftwareEngineering ScientificNetworkforInnovationand FacultyofInformationandCommunication ResearchExcellence Technology MachineIntelligenceResearchLabs UniversitiTeknikalMalaysiaMelaka (MIRLabs) (UTeM) Auburn,Washington DurianTunggal USA Malaysia SargurN.Srihari Yun-HuoyChoo DepartmentofComputerScienceand DepartmentofSoftwareEngineering Engineering FacultyofInformationandCommunication CenterofExcellenceforDocument Technology TheStateUniversityofNewYorkSUNY UniversitiTeknikalMalaysiaMelaka Buffalo,NewYork (UTeM) USA DurianTunggal Malaysia ISSN1860-949X ISSN1860-9503 (electronic) ISBN978-3-319-05884-9 ISBN978-3-319-05885-6 (eBook) DOI10.1007/978-3-319-05885-6 SpringerChamHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber: 2014935371 (cid:2)c SpringerInternationalPublishingSwitzerland2014 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. 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Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface Computationalintelligencetechniques,whicharemethodsthatautomateexperthuman procedures,have beenwidely exploredin variousdomainsincludingforensics. Anal- ysis in forensics encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies etc. However, forensic analysis is usually performedthroughexperimentsin lab, which is expensivebothin cost and time.Therefore,weseektoexploretheprogressandadvancementofcomputationalin- telligencetechniquesindifferentareasofforensicstudies.Thisaimstobuildastronger connectionbetweencomputerscientistsandforensicdomainexperts.ThiseditedVol- umetitledComputationalIntelligenceinDigitalForensics:ForensicInvestigationand Applications, is the first volume on Digital Forensics in this Book series. The book presentsoriginalresearchresultsandinnovativeapplicationsofcomputationalintelli- genceindigitalforensics.Thisvolumecontainseighteenchaptersandpresentsthelatest state-of-the-artadvancementofComputationalIntelligenceinDigitalForensics;inboth theoreticalandapplicationpapersrelatedtonoveldiscoveryinintelligentforensics.The chaptersarefurtherorganizedintothreeSections:Introduction,ForensicDiscoveryand Investigation,andIntelligentForensicScienceApplications. Section 1 consists of an Introductory chapter by Pratama et al., which introduces the basic principles of forensic science and its prominence, the emergence of digital forensics,theincorporationofcomputationalintelligencetowardsdigitalforensics,and finally discusses the leading societies, journals, and conferences related to computa- tionalintelligenceindigitalforensics. Section 2 comprise of five chapters and focuses on the studies, methodologies, andtechniquesemployedtoenhancetheexistingforensicdiscoveryandinvestigation. Chapter2titledDigitalForensics2.0:AReviewonSocialNetworksForensicsbyKey- vanpouret al. introducesthe usefulnessof social network forensicstechniquesincor- porationforanalyzingandsurveyingsocialinteractionstodetect,predictandprevent allformsofpotentialcriminalactivities.InChapter3titledImpactofSomeBiometric ModalitiesonForensicScience,byAwadandHassanien,presentastudyoftheimpacts ofusingsomebiometricmodalitiesinforensicapplications,andshedslightonthepos- itiveandthe negativeimpactsofusingsomebiometricmodalitiesin forensicscience. VI Preface Chapter4titled IncorporatingLanguageIdentificationinDigitalForensicsInvestiga- tionFramework,byAkosuandSelamat,discussestheincorporationoflanguageidenti- ficationindigitalforensicsinvestigation(DFI)modelsinordertohelplawenforcement tobeastepaheadofcriminals,outlinesissuesoflanguageidentificationinDFIframe- works,andproposesa newframeworkwith languageidentificationcomponent.Mitra andKunduinChapter5titledCostOptimizedRandomSamplinginCellularAutomata forDigitalForensicInvestigationsreportaboutanefficientdesignmethodologytofacil- itaterandomsamplingproceduretobeusedindigitalforensicinvestigations.Chapter 6 titled Building Multi-modal Crime Profiles with Growing Self Organising Maps by BooandAlahakoonproposethefusionofmultiplesourcesofcrimedatatopopulatea holisticcrimeprofilethroughtheuseofGrowingSelfOrganisingMaps. Section 3, begins with the Chapter titled Anthropometric Measurement of North- EastIndianFacesforForensicFaceAnalysisbySahaetal.anddiscussesastudyofthe facialstructuraldifferencesbetweenthevarioustribesandnon-tribesofthenortheast- ern region of India. Bera et al. in Chapter 8 titled Hand Biometrics in Digital Foren- sicsinvestigatethepotentialbenefitsandscopeofhand-basedmodesinforensicswith an illustration of hand geometry verification method. In Chapter 9 A Review on Age Determination Techniques for Non-Human in Forensic Anthropology, Sahadun et al. present a review of techniquesin identifying age for non-humancases regardlessthe specimen of data, which focuses on age determination. Mata et al. in Chapter 10 ti- tled IntegratingComputationalMethodsfor Forensic Identificationof Drugs by TLC, GCandUVTechniquescombinethecomputationalmethodsandthetechniquesofThin LayerChromatography(TLC),Ultraviolet(UV)andGasChromatography(GC),which bringssignificantimprovementsinthespeedandaccuracyoftheanalysisandidentifi- cationofdrugsofabuse.InChapter11titled DetectingCounterfeitRFIDTagsUsing DigitalForensic,byKhoretal.,presenttheelectronicfingerprintmatchingmethodin the digitalforensicinvestigationmodel.Medeiroset al. in Chapter12 titled Learning RemoteComputerFingerprintingpresentsomeadvancesandsurveystheuseofcom- putational intelligence for remote identification of computers and its applications to networkforensics.InthesequelPaletal.focusonSignature-basedBiometricAuthen- tication. Bagchi et al. in Chapter 14 titled Registration of Three-dimensionalHuman FaceImagesacrossPoseandtheirApplicationsinDigitalForensicanalyzetheregis- tration methodsfor face recognition across differentposes from 0 to 90◦. In Chapter 15 titled Computational Methods for the Analysis of Footwear Impression Evidence, Srihari and Tang, propose new algorithms to improve image quality, computing fea- turesforcomparison,measuringthedegreeofsimilarity,andretrievalofclosestprints fromadatabase,whichdeterminesthedegreeofuncertaintyinidentification.Pratama etal.inChapter16titledANewSwarm-basedFrameworkforHandwrittenAuthorship IdentificationinForensicDocumentAnalysisfocusonidentifyingtheuniqueindividual significantfeaturesofwordshapebyusingfeatureselectionmethodpriortheidentifi- cationtask. In Chapter17 titled Data MiningMethodsAppliedto a DigitalForensics Task for Supervised Machine Learning, Tallón-Ballesteros and Riquelme perform an Preface VII experimentalstudyonaforensicsdatataskformulti-classclassificationincludingsev- eraltypesof methodssuchas decision trees, Bayesclassifiers, expertsystems, neural networksandbasedonnearestneighbors.InthelastChapter,SpeechQualityEnhance- ment in Digital Forensic Voice Analysis, Ekpenyongand Obot improvesthe integrity, vis-à-vistheintelligibilityofspeechsignals. Editors AzahKamilahMuda Yun-HuoyChoo AjithAbraham SargurN.Srihari Reviewers AlbertoOchoaO.Zezzatti UniversidadAutónomadeCiudadJuárez,Mexico AliismailAwad AlAzharUniversity,Qena,Egypt AnirbanKundu Kuang-ChiInstituteofAdvancedTechnology, China AntonioSilva UniversidadVenezuelaCentral,UniversityCity, Venezuela AjithAbraham MachineIntelligenceResearchLabs,USA AntoniojTallón-Ballesteros UniversityofSeville,Spain ArnabMitra AdamasInstituteofTechnology,India AsishBera HaldiaInstituteofTechnology,India AyanSeal JadavpurUniversity,India AzahKamilahMuda UniversitiTeknikalMalaysiaMelaka,Malaysia ChooYun-Huoy UniversitiTeknikalMalaysiaMelaka,Malaysia DaniaPorro AdvancedTechnologiesApplicationCenter (CENATAV),Cuba DewiNasien UniversitiTeknologiMalaysia,Malaysia EduardoGarea AdvancedTechnologiesApplicationCenter (CENATAV),Cuba FranciscoJoséSilvaMata AdvancedTechnologiesApplicationCenter (CENATAV),Havana,Cuba FranciscoOrnelas UniversidadAutonomadeAguascalientes,Mexico HabibollahHarun UniversitiTeknologiMalaysia,Malaysia IsneriTalavera-Bustamante AdvancedTechnologiesApplicationCenter (CENATAV),Havana,Cuba JoaoBatistaBorgesNeto FederalUniversityofRioGrandedoNorte,Brazil JuliodeCarvalhoPonce UniversidadAutonomadeAguascalientes,Mexico JoséAlbertoHernándezAguilar UniversidadAutónomadelEstadodeMorelos, Mexico LázaroBustioMartínez AdvancedTechnologiesApplicationCenter (CENATAV),Havana,Cuba MosesEkpenyong UniversityofUyo,Nigeria X Reviewers MrinalKantiBhowmik TripuraUniversity,India MarjanKuchakiRafsanjani ShahidBahonarUniversityofKerman,Iran JoãoPaulodeSouzaMedeiros FederalUniversityofRioGrandedoNorte,Brazil NicholasAkosu UniversitiTeknologiMalaysia,Malaysia MohammadGhulamRahman UniversitiSainsMalaysia,Malaysia OkureObot UniversityofUyo,Nigeria PauloS.MottaPires FederalUniversityofRioGrandedoNorte,Brazil ParamaBagchi MCKVInstituteofEngineering,India SargurSrihari UniversityatBuffalo,USA SrikantaPal GriffithUniversity,Australia YeelingBoo DeakinUniversity,Australia YeniselPlasenciaCalana DelftUniversityofTechnology,TheNetherlands YoannaMartínez-Díaz AdvancedTechnologiesApplicationCenter (CENATAV),Havana,Cuba
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