A reinforcement learning approach for host-based intrusion detection using sequences of system calls

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 995-1003

  Xu, Xin ^a   Xie, Tao ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SCIENCE; COMPUTER VISION; DATA MINING; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; OPTIMIZATION; SECURITY OF DATA; COMPUTATIONAL EFFICIENCY; INTELLIGENT COMPUTING; LEARNING SYSTEMS; NETWORK SECURITY; REINFORCEMENT LEARNING;

COMPUTATIONAL EFFICIENCY; INTRUSION DETECTION SYSTEMS (IDS); MARKOV REWARD PROCESS MODEL; REINFORCEMENT LEARNING APPROACH; DEFEND; HOST-BASED INTRUSION DETECTION; INTRUSION DETECTION SYSTEMS; LINEAR BASIS FUNCTION; MARKOV REWARD PROCESS; VALE;

LEARNING SYSTEMS; INTRUSION DETECTION;

EID: 27144512114     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_103     Document Type: Conference Paper

References (12)

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