Defending a Computer System using Autonomous Agents

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  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 =          "",
  URL =          "",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:265557",
  rights =       "unrestricted",
  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
  notes =        "citeseer 1999 oct 21",
  size =         "11 pages",

Genetic Programming entries for Mark Crosbie Eugene H Spafford