PROPOSED METHOD FOR DETECTING ACTIVE ATTACKS IN WIRELESS SENSOR NETWORK USING MACHINE LEARNING AND HASH CRYPTOGRAPHIC FUNCTION

Abstract

Network monitoring and analysis has taken primordial role to understand the functioning of the internet and prevent it from any future probable attacks. Many publications treated the topic of the security as an interesting research domain. Due to the importance and the different applications of wireless sensor networks, the research of finding security solutions is always up but their limited resources (energy consumption, CPU capacity, limited memory…) make the application of classical protocols of security like cryptography, almost impossible. Therefore, recently machine learning is a new field which gets the interest of the majority of researchers. The solutions for providing security services conveyable of in this type of network, are proposed. In this paper we focus in the monitoring of wireless sensor network using machine learning as an intrusion detection system. We address in particular to active attacks. Because of the limitation of machine learning and to provide a high protection against attack we proposed a hash cryptographic function in order to protect the authenticity of information. Our interesting contribution aims three important axes of security: confidentiality, integrity and authentication.