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
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;
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
DOI :
10.1109/BIMNICS.2007.4610128
