A comparison of input representations in neural networks: A case study in intrusion detection

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1708-1713

  Liu, Zhen ^a   Florez, German ^a   Bridges, Susan M ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ENCODING (SYMBOLS); NEURAL NETWORKS; SECURITY OF DATA; SEQUENTIAL MACHINES; USER INTERFACES;

ANOMALY DETECTION MODULE; INPUT REPRESENTATIONS; INTRUSION DETECTION;

KNOWLEDGE REPRESENTATION;

EID: 0036082885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Fast effective rule induction
2. A sense of self for unix processes
3. Statistical pattern recognition: A review
4. User-level infrastructure for system call interposition: A platform for intrusion detection and confinement
5. An application of pattern matching in intrusion detection
6. Learning patterns from unix process execution traces for intrusion detection
7. Computer inmune systems
8. Detecting intrusions using system calls: Alternative data models