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基于基因视角的恶意代码同源性判定（英文）.docx

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基于基因视角的恶意代码同源性判定（英文） Introduction Withtheriseoftheinternet,computersystemshavebecomeanintegralpartofdailylife.However,astechnologyadvances,sodothethreatsposedbymaliciousactors.Oneofthemostpressingthreatsistheproliferationofmaliciouscode,whichcancausesignificantdamagetosystemsandnetworks.Traditionalmethodsofdetectingmaliciouscoderelyonknownsignaturesorbehaviorpatterns,butthesemethodsareeasilyevadedbyattackerswhomodifytheircodetoavoiddetection.Toaddressthisissue,researchershavebeguntoexploretheuseofgeneticanalysistodetectandcategorizemaliciouscodebasedonitsunderlyingstructure.Inthispaper,wewillexploretheconceptofgeneticanalysisanditsapplicationinthefieldofcybersecurity. Background Geneticsisthestudyoftheheredityandvariationofbiologicalorganisms.Itisconcernedwiththestructure,function,andtransmissionofgeneticinformation,includingDNAandRNA.Inrecentyears,thisfieldhasbeenextendedtoincludethestudyofsoftwareandcode,whichalsocontainsgeneticinformationintheformofdatastructures,algorithms,andcodepatterns.Thisinterdisciplinaryfieldisknownassoftwaregenetics. Softwaregeneticsexploresthegeneticstructureofsoftwareandcodetoidentifycommonpatternsandsimilarities.Byanalyzingcodestructuresandidentifyingpatternsacrossdifferentpiecesofcode,researcherscanbetterunderstandhowcodeworksandhowitcanbemanipulated.Thisapproachhasbeenusedinvariousfieldsincludingsoftwareengineering,opensourcesoftwaredevelopment,andbioinformatics. Methodology Toapplygeneticanalysistothefieldofcybersecurity,researchershavedevelopedseveraladvancedtechniques.Oneofthemostwidelyusedtechniquesistheextractionofopcodesequencesfrommalwaresamples.Opcodesequencesareasetoflow-levelinstructionsthatareexecutedonaprocessor.Theseopcodesequencescanbeusedtoidentifythefunctionalityofapieceofcodeandcanprovideimportantcluesaboutitsbehavior. Oncetheopcodesequenceshavebeenextracted,theycanbeusedtogenerateageneticsignatureforeachsample.Geneticsignaturesareasetofuniquegeneticmarkersthatallowresearcherstoidentifyandcategorizesamplesbasedonthei