Dynamic Runtime Opcode Dataset Generation for Improving Malware Classification


Autoria(s): Carlin, Domhnall; O'Kane, Philip; Sezer, Sakir
Data(s)

21/09/2016

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/dynamic-runtime-opcode-dataset-generation-for-improving-malware-classification(00f9afd4-d57b-4f2e-9b96-18bcfc89a213).html

http://pure.qub.ac.uk/ws/files/100650260/raid_poster_dcarlin.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

Carlin , D , O'Kane , P & Sezer , S 2016 , ' Dynamic Runtime Opcode Dataset Generation for Improving Malware Classification ' 19th International Symposium on Research in Attacks, Intrusions and Defenses , Evry , France , 19/09/2016 - 21/09/2016 , .

Palavras-Chave #malware detection #Obfuscation, Packers, Polymorphism, Metamorphism Malware, KNN, SVM #machine learning #Cybersecurity, research,inovation, trust, resilience, translation
Tipo

conferenceObject