Vidal's library
Title: A Biologically Inspired Immune System for Computers
Author: Jeffrey O. Kephart
Book Tittle: Proceedings of the Fourth International Workshop on Synthesis and Simulatoin of Living Systems
Editor: Rodney A. Brooks and Pattie Maes
Pages: 130--139
Publisher: MIT Press, Cambridge, MA
Year: 1994
Abstract: Computer viruses are the rst and only form of arti cial life to have had a measurable impact on society Cur rently they are a relatively manageable nuisance How ever two alarming trends are likely to make computer viruses a much greater threat First the rate at which new viruses are being written is high and accelerating Second the trend towards increasing interconnectivity and interoperability among computers will enable com puter viruses and worms to spread much more rapidly than they do today To address these problems we have designed an im mune system for computers and computer networks that takes much of its inspiration from nature Like the ver tebrate immune system our system develops antibodies to previously unencountered computer viruses or worms and remembers them so as to recognize and respond to them more quickly in the future We are careful to min imize the risk of an auto immune response in which the immune system mistakenly identi es legitimate software as being undesirable We also employ nature s technique of ghting self replication with self replication which our theoretical studies have shown to be highly e ective Many components of the proposed immune system are already being used to automate computer virus analysis in our laboratory and we anticipate that this technol ogy will gradually be incorporated into IBM s commercial anti virus product during the next year or two.

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@InProceedings{kephart94a,
  author =	 {Jeffrey O. Kephart},
  title =	 {A Biologically Inspired Immune System for Computers},
  googleid =	 {JZDyAUSMuckJ:scholar.google.com/},
  booktitle =	 {Proceedings of the Fourth International Workshop on
                  Synthesis and Simulatoin of Living Systems},
  pages =	 {130--139},
  year =	 1994,
  editor =	 {Rodney A. Brooks and Pattie Maes},
  publisher =	 {{MIT} Press, Cambridge, MA},
  abstract =	 {Computer viruses are the rst and only form of arti
                  cial life to have had a measurable impact on society
                  Cur rently they are a relatively manageable nuisance
                  How ever two alarming trends are likely to make
                  computer viruses a much greater threat First the
                  rate at which new viruses are being written is high
                  and accelerating Second the trend towards increasing
                  interconnectivity and interoperability among
                  computers will enable com puter viruses and worms to
                  spread much more rapidly than they do today To
                  address these problems we have designed an im mune
                  system for computers and computer networks that
                  takes much of its inspiration from nature Like the
                  ver tebrate immune system our system develops
                  antibodies to previously unencountered computer
                  viruses or worms and remembers them so as to
                  recognize and respond to them more quickly in the
                  future We are careful to min imize the risk of an
                  auto immune response in which the immune system
                  mistakenly identi es legitimate software as being
                  undesirable We also employ nature s technique of
                  ghting self replication with self replication which
                  our theoretical studies have shown to be highly e
                  ective Many components of the proposed immune system
                  are already being used to automate computer virus
                  analysis in our laboratory and we anticipate that
                  this technol ogy will gradually be incorporated into
                  IBM s commercial anti virus product during the next
                  year or two.},
  keywords =     {biology},
  url =		 {http://jmvidal.cse.sc.edu/library/kephart94a.pdf},
  cluster = 	 {14535803496033325093}
}
Last modified: Wed Mar 9 10:13:55 EST 2011