On challenges in evaluating malware clustering

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

Volumn 6307 LNCS, Issue , 2010, Pages 238-255

  Li, Peng ^a   Liu, Limin ^b   Gao, Debin ^c   Reiter, Michael K ^a  

^a University of North Carolina   (United States)

^b GRADUATE SCHOOL   (China)

^c SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

malware clustering and classification; plagiarism detection

Indexed keywords

INTELLECTUAL PROPERTY; INTRUSION DETECTION; MALWARE; STATISTICAL TESTS;

CLUSTER-SIZE DISTRIBUTION; CLUSTERING RESULTS; DIFFERENT DOMAINS; FULLY AUTOMATED; GROUND TRUTH DATA; HIGHLY ACCURATE; MALWARE ANALYSIS; PLAGIARISM DETECTION;

CLUSTERING ALGORITHMS;

EID: 78249253017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15512-3_13     Document Type: Conference Paper

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