Defence Against 802.11 DoS Attacks Using Artificial Immune System

In this paper we present an Artificial Immune System (AIS) based security framework, which prevents a number of serious Denial of Service (DoS) attacks. The proposed security framework can counter de-authentication and disassociation attacks. The results of our experiments clearly demonstrate that the proposed framework approximately achieved 100% detection rate with negligible false positive rate. One can conclude from the ROC (Receiver Operating Characteristics) plots of our AIS that its performance approaches `perfect classification point' at a suitable matching threshold value. Key words: 802.11, Network Intrusion Detection, Artificial Immune System

• Type: Conference
• Year: 2007
• Where: ICARIS
• Authors: M. Zubair Shafiq, Muddassar Farooq
• Keywords: Artificial Immune System, Artificial Intelligence, False Positive Rate, ICARIS 2007, Security Framework