DocumentCode
2719809
Title
Network Immunity: What can we learn from nature for network protection?
Author
Kleis, Michael ; Hirsch, Thomas ; Zseby, Tanja
Author_Institution
Fraunhofer Inst. FOKUS, Berlin
fYear
2007
fDate
10-12 Dec. 2007
Firstpage
283
Lastpage
286
Abstract
In this paper we analyze network immunity as a bio-inspired approach for detecting anomalies in communication networks. We briefly review the basic methods of artificial immune systems (AIS), identify their strengths and weaknesses, and evaluate their possible applications to intrusion detection in computer networks. After an overview of related work from the area of intrusion detection we collect key challenges anticipated for the realization of network immunity based on AIS.
Keywords
artificial immune systems; security of data; telecommunication computing; telecommunication networks; telecommunication security; artificial immune systems; communication networks; network immunity; network protection; Adaptive systems; Communication system security; Computer networks; Computer security; Face detection; Humans; Immune system; Intrusion detection; Pathogens; Protection; Anomaly Detection; Artificial Immune Systems; Network Intrusion Detection; Survey;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Models of Network, Information and Computing Systems, 2007. Bionetics 2007. 2nd
Conference_Location
Budapest
Print_ISBN
978-963-9799-05-9
Electronic_ISBN
978-963-9799-05-9
Type
conf
DOI
10.1109/BIMNICS.2007.4610128
Filename
4610128
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