Opcode-sequence-based semi-supervised unknown malware detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6694 LNCS, Issue , 2011, Pages 50-57

  Santos, Igor ^a   Sanz, Borja ^a   Laorden, Carlos ^a   Brezo, Felix ^a   Bringas, Pablo G ^a  

^a UNIVERSITY OF DEUSTO   (Spain)

Author keywords

machine learning; malware detection learning; semi supervised learning

Indexed keywords

ACCURACY RATE; ANTIVIRUS SOFTWARES; EMPIRICAL VALIDATION; GLOBAL SECURITY; MACHINE-LEARNING; MALICIOUS EXECUTABLES; MALWARE DETECTION; MALWARES; OP-CODE SEQUENCE; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SUPERVISED MACHINE LEARNING; SEMI- SUPERVISED LEARNING; SIGNATURE BASED DETECTIONS;

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; COMPUTER VIRUSES; INFORMATION SYSTEMS; SUPERVISED LEARNING; COMPUTER CRIME; LEARNING ALGORITHMS; LEARNING SYSTEMS; NETWORK SECURITY; NEURAL NETWORKS;

SECURITY OF DATA; MALWARE;

EID: 79958239902     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21323-6_7     Document Type: Conference Paper

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