Smart integration of cloud computing and MCMC based secured WSN to monitor environment

Abstract

Wireless Sensor Network (WSN) is a low cost and multifunctional emerging technology. Its application ranges from military, health sector, environmental monitoring and industrial application. The maximum benefit of recent technology development can be achieved by integration internet (Cloud Computing) and secured real time data collection platform (secured-WSNs). In order to ensure its functionality especially in malicious environments, security mechanisms are essential in WSNs. Malicious or internal attacker has gained prominence and poses the most challenging attacks to WSN. So, for complete security internal attacks need to be handled. In this paper we proposed content-based publish/subscribe (pub/sub) broker model on the Cloud that integrates WSNs to Cloud efficiently and effectively. To secure WSNs we have proposed a new approach for detecting internal attack by using Markov Chain Monte Carlo (MCMC). It is an efficient real time algorithm. It is good for sensor network as it operates with no or incomplete classification information. Our result shows the output of the internal attacker evaluation.