SMS-Watchdog: Profiling social behaviors of sms users for anomaly detection

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

Volumn 5758 LNCS, Issue , 2009, Pages 202-223

  Yan, Guanhua ^a   Eidenbenz, Stephan ^a   Galli, Emanuele ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Anomaly detection; JS divergence; Relative entropy; SMS

Indexed keywords

ANOMALY DETECTION; CELLULAR NETWORK; DETECTION SCHEME; FALSE ALARM RATE; FALSE ALARMS; HYBRID APPROACH; LOW OVERHEAD; MOBILE USERS; NETWORK CONGESTIONS; ONLINE ANOMALY DETECTION; PARAMETER SETTING; PHISHING; RELATIVE ENTROPY; SECURITY THREATS; SOCIAL BEHAVIOR; VARIOUS ATTACKS; WINDOW-BASED;

CELLULAR NEURAL NETWORKS; ERRORS; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; NETWORK SECURITY; TRACE ANALYSIS; WIRELESS NETWORKS;

INTRUSION DETECTION;

EID: 76649137567     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04342-0_11     Document Type: Conference Paper

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