DocumentCode
395555
Title
Adenoids: a hybrid IDS based on the immune system
Author
Paula, Fuhricio S. ; Reis, Murcelo A. ; Fernandes, Diego A M ; Geus, Paulo L.
Author_Institution
Comput. Inst., State Univ. of Campinas, Brazil
Volume
3
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
1479
Abstract
The human immune system provides a rich source of inspiration for computer network security. By exploring this analogy, the authors propose a hybrid intrusion detection architecture that has the same learning and adaptive capability of the human immune system.
Keywords
computer network reliability; learning (artificial intelligence); security of data; ADenoIdS; computer network security; computer security; human immune system; intrusion detection system; learning; Computer architecture; Computer networks; Computer security; Computer viruses; Computer vision; Humans; Immune system; Implants; Intrusion detection; Microorganisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202866
Filename
1202866
Link To Document