Cross Layer and Management Plane Integration Approach for Detection and Prevention of Malicious Activities in WSN

Wireless Sensor Networks (WSNs) are the next generation envision and have several applications in military, infrastructure monitoring, healthcare, environment monitoring, manufacturing and Internet of Things (IoT) applications. WSN is basically a collection of sensor nodes that are deployed without infrastructure deployed anywhere, anytime, without administrator and every node works as host and router. Sensor nodes are more susceptible to failure because they are deployed in open areas, may be tampered by intruders. Malicious attacks like, Denial of Service (DoS), Sybil attack, Blackhole/Sinkhole attack, Hello Flood attack, Wormhole attacks may modify sensitive information results in performance degradation. The next emerging technology is WSN with IoT, wherein billions of devices are connected with internet and every day millions of new hackers and malicious activities are identified. Hence it has become essential to propose different approaches and different measurements to identify malicious activities and to avoid them is big challenge in WSN. Several researchers have proposed cross layer design to improve QoS by reducing latency and computation overhead. But these proposed ideas have not been standardized in global level networking. So there is a need for designing security models for various devices and conform National Information Security Framework (NISF) policies. One way to detect and identify malicious activities is through analyzing nodes activities pattern in the network. This paper proposes a cross layer and management plane integration approach for detection and prevention of malicious activities in Wireless Sensor Networks