A novel algorithm for malicious attack detection in UWSN

Information transmission in the marine scenario utilizing wireless communications is unique method that empowering the technology for the evolution of imminent marine-surveillance systems and sensory networks. Under-water wireless sensor network (UWSN) in one of the auspicious technology for marine observation. The applications of underwater sensing has several domain that range from oil industry to aquaculture. Some of the UWSN applications include device checking, monitoring and control of pollution in the water, underwater ecosystems monitoring, forecasting of natural disasters and disturbances, exploration and survey missions, as well as study of oceanic life. Nodes in UWSN are normally low cost, low power. Considering the characteristics and the nature of applications, security of UWSN is one of the critical issue and had drawn significant attention to the researchers. In order to have a functional UWSN to extract the authentic data safeguarding and protection mechanisms are crucial. Malicious node attacks has accomplished as one of the most challenging attacks to UWSN. Several research has been conducted to protect UWSN from malicious attacks but majority of the works depend on either training data set or a previously defined threshold. Without an established security infrastructure a UWSN required to detect the malicious attacks is a complication and challenge. In this paper, we used evidential evaluation utilizing Dempster-Shafer theory (DST) of combined multiple evidences to identify the malicious attacks in a UWSN. Moreover, it gives a numerical procedure for fusing together multiple pieces of facts from an untrustworthy and unreliable neighbor with a higher degree of conflict reliability.