Terrorist Intrusion Monitoring System Using Outlier Analysis Based Search Knight Algorithm
Wireless Body Area Networks (WBANs) are a growing field of research; the challenges and applications have been explored and resolved by many researchers. The benefits of mobile communication based WBANs is using cellular communication as communication methodologies in the WBANs. Especially in emergency systems like medicare and military system, WBANs can be described as ease of provision, maintenance and management. In this paper, a Search Knight (SK) algorithm is proposed which is Outlier Analysis based technique. The SK algorithm is proposed for identifying unknown nodes (terrorist) in the border line using WBANs. The geographical location of the each node position is identified and tabulated on each time unit.