Software Development for Malicious Nodes Discovery in Wireless Sensor Network Security

Wireless sensor networks represent a fascinating domain, with a wide area of applications in various environments. For this reason, in the world of wireless networks professionals, there is a major interest concerning the security issues in network communication and data flow between a sensor network and other types of intelligent devices. This paper proposes a new intrusion detection system approach for assuring the security of a wireless sensor network against malicious attacks. Our method relies on the huge potential provided by the mixture between software modules developed in low-level or high-level software languages with modules developed in powerful numerical-oriented software (Matlab/Simulink) to increase the accuracy of data processing. The main result of this paper is the implementation know-how for an intelligent mixed system that use both hardware and software resources for proofing a wireless sensor network.

[1]  Jeffrey Richter,et al.  CLR via C , 2006 .

[2]  Zinaida Benenson,et al.  Tampering with Motes: Real-World Physical Attacks on Wireless Sensor Networks , 2006, SPC.

[3]  Felix C. Freiling,et al.  Cooperative Intrusion Detection in Wireless Sensor Networks , 2009, EWSN.

[4]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[5]  Donald Thompson.  Embedded Programming with the Microsoft .NET Micro Framework (Pro - Developer) , 2007 .

[6]  Ovidiu Banias,et al.  Combined Malicious Node Discovery and Self-Destruction Technique for Wireless Sensor Networks , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[7]  David Gay,et al.  Language support for interoperable messaging in sensor networks , 2005, SCOPES '05.

[8]  C. Karlof,et al.  Secure routing in wireless sensor networks: attacks and countermeasures , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[9]  Jianqing Ma,et al.  SAID: A Self-Adaptive Intrusion Detection System in Wireless Sensor Networks , 2006, WISA.

[10]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[11]  Ioannis D. Schizas,et al.  Distributed Recursive Least-Squares for Consensus-Based In-Network Adaptive Estimation , 2009, IEEE Transactions on Signal Processing.

[12]  Mischa Dohler.  Wireless Sensor Networks:The Biggest Cross-Community Design Exercise To-Date , 2008 .

[13]  Marimuthu Palaniswami,et al.  Intrusion Detection for Routing Attacks in Sensor Networks , 2006, Int. J. Distributed Sens. Networks.

[14]  Richard Tynan,et al.  Intelligent agents for wireless sensor networks , 2005, AAMAS '05.