Hybrid identity based cryptographic scheme optimization using machine learning in WSN

Wireless sensor networks (WSN) security has become a very important issue considering the wide range of applications and implementation challenges. In this article we are proposing a machine learning based technique in order to optimize all aspects of wireless sensor network based applications that are being secured using a previously proposed Hybrid Distributed-Hierarchical Identity Based Cryptographic Scheme (HYDISH).