- title = "Defending a Computer System using Autonomous Agents",
- author = "Mark Crosbie and Gene Spafford",
- institution = "Department of Computer Science, Perdue University",
- year = "1994",
- type = "Technical Report",
- number = "95-022",
- address = "West Lafayette, IN, USA",
- month = "11 " # mar,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.cerias.purdue.edu/homes/spaf/tech-reps/9522.ps",
-
URL = "
https://www.cerias.purdue.edu/assets/pdf/bibtex_archive/95-02.pdf",
-
URL = "
https://www.cerias.purdue.edu/apps/reports_and_papers/view/19",
-
URL = "http://citeseer.ist.psu.edu/265557.html",
- annote = "The Pennsylvania State University CiteSeer Archives",
- language = "en",
- oai = "oai:CiteSeerPSU:265557",
- rights = "unrestricted",
- size = "11 pages",
- abstract = "This report presents a prototype architecture of a defense mechanism for computer systems. The intrusion detection problem is introduced and some of the key aspects of any solution are explained. Standard intrusion detection systems are built as a single monolithic module. A finer-grained approach is proposed, where small, independent agents monitor the system. These agents are taught how to recognise intrusive behaviour. The learning mechanism in the agents is built using Genetic Programming. This is explained, and some sample agents are described. The flexibility, scalability and resilience of the agent approach are discussed. Future issues are also outlined.",
-
notes = "See also \cite{Crosbie:IDIOT}
citeseer 1999 oct 21",
