ABSTRACT
The Influence of computing technology is so dominant that it is affecting and capturing every aspect of human life and providing more and more convenience by automation. Development of automatic systems in every arena reduces the problems of unavailability of the services and disparity in providing the services; it also decreases the time complexity, space complexity, need for human intervention, and many more. Every convenience comes at a cost, and the cost is exposure to cyber-physical threats, so security becomes the most prominent issue, which prevails whether it is in terms of the physical or digital environment. Connectivity to the internet creates an inward–outward connection for a system, which opens the door for the adversary. In terms of wireless sensor networks (WSNs), the enormous production of data from sensors and smart and intelligent radio nodes and the integration of it with cloud computing is putting the data at stake, creating privacy issue. Protecting a system from intruders to maintain confidentiality, integrity and availability (CIA), should be the utmost priority in an intrusion detection system (IDS), which plays a key role in the security infrastructure. An IDS monitors network traffic and reports unusual activity and prevents attacks. This chapter deals with how the security can be compromised using various intrusion techniques and how that could be prevented with using machine learning in a wireless sensor network.
