Title :
A novel intrusion detection framework for Wireless Sensor Networks
Author :
Rassam, Murad A. ; Maarof, Mohd Aizaini ; Zainal, Anazida
Author_Institution :
Dept. of Comput. Commun. & Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
Wireless Sensor Networks (WSN) security issues are getting more attention by researchers due to deployment circumstances. They are usually deployed in unattended and harsh environments that make them susceptible for many kinds of attacks. Different security mechanisms have been proposed for WSN. Detection-based mechanisms are considered to be the second defense line against attacks when the traditional prevention based mechanisms failed to detect them. Different intrusion detection schemes have been introduced (e.g. rule based, statistical based...etc). Rule-based intrusion detection schemes are considered to be the fast and simple schemes that are suitable for the demand of WSN. However, these schemes are more specific to some kinds of attacks and cannot be generalized. In addition, these schemes cannot detect the unknown attacks that are not included in their rule base. In this paper, we highlight the limitations of the state-of-the-art rule based intrusion detection schemes and then introduce a novel framework based on rule based scheme that is able to overcome these limitations.
Keywords :
knowledge based systems; learning (artificial intelligence); telecommunication computing; telecommunication security; wireless sensor networks; intrusion detection framework; rule learning; rule-based intrusion detection scheme; security issue; wireless sensor network; Base stations; Collaboration; Feature extraction; Intrusion detection; Monitoring; Wireless sensor networks; Intrusion Detection; Rule Learning; Security; Wireless Sensor Networks;
Conference_Titel :
Information Assurance and Security (IAS), 2011 7th International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4577-2154-0
DOI :
10.1109/ISIAS.2011.6122778