A Network Intrusion Detection Method Inspired by Biological Immunology
2010 ◽
Vol 121-122
◽
pp. 482-485
Keyword(s):
In this article an Immune Based Intrusion Detection Model (IBIDM) was built to simulate the dynamic relationships between the intrusion antigen intensity and the antibody concentration in the biological immune systems. In IBIDM, traditional detection rules and network traffic patterns are mapped to antibodies and antigens respectively. The network security situation is presented in the form of detector numbers to help reduce false alarm rate. Computer simulations show that the proposed model is effective for intrusion detection.
2021 ◽
Vol 1966
(1)
◽
pp. 012051
Keyword(s):
2021 ◽
Vol 1861
(1)
◽
pp. 012034
Keyword(s):
Keyword(s):
2014 ◽
Vol 602-605
◽
pp. 1634-1637
Keyword(s):
2021 ◽
Vol 12
(2)
◽
pp. 35-45