Wireless Sensor Networks are modernizing the way; the people interact with the physical world. They comprise of small sensor nodes which have many capabilities such as sensing, monitoring, computation and wireless communications. They are deployed in large amounts to collect data from the environment, perform local processing and communicate their results. In this work, we investigate the Gray Hole Attack and its variants, which is very simple to implement but difficult to detect. In Gray Hole attack the malicious node works as a normal node but refuses to forward certain selected packets and simply drop them .Due to this nature, the Gray Hole attack is very harmful for mission critical applications and can damage the whole network communication, making the network useless .So, in proposed work utilization of two AI methods will be done i.e. SVM and fuzzy logic, in which comparison of both methods will be done in mitigation of gray hole attack in WSN network in MATLAB 2010a environment within required area.
There are many advantages and reasons for wireless sensor network to be popular. The key concern while establishing wireless sensor network (Mobile ad-hoc network) is the routing protocol to be applied. Routing process is the process of discovering the path that a data packet will follow to get it from the source node to the destination node. As the mobile ad-hoc network consists of mobile nodes with no controlling unit in which each and every step of communication is handled by the nodes within the network itself. The selection of routing protocol is one of the difficult tasks and the key challenge faced by the routing is the energy consumption issue apart from the others. In this research, the routing technique is developed with a basic focus on reduction of the energy consumption while improving the overall performance of the network. Presently, various efficient routing protocols have been estimated for wireless sensor network. In the presence of malicious nodes, the network becomes penetrable to different kind of attacks. In wireless sensor network, routing-attacks are relatively serious. It has number of potential-applications in completely un-predictable in dynamic environment. Routing protocol utilized here are in a form of reactive-routing protocol known as OLSR. This routing protocol route is based on demand.The proposed work has designed and implemented wireless sensor network in OLSR routing protocol. The gray hole attack is mitigated using Fuzzy Logic based on rule sets to have better routing process and ABC (Artificial Bee Colony) algorithm at superior rate for optimizing the route set at novel objective function. In this work, the performance analysis of the network with the scenarios consisting 50 nodes moving with the speed of the 5-10m/s within the area (1000X1000) m2 has been done in regards to the parameters, namely, Throughput, End-to-End Delay, BER (bit error rate) and Energy consumption).
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