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An enhanced flower pollination algorithm‐based chaff point generation method with hardware implementation in WBAN

In wireless body area networks (WBAN), device authentication and key agreement are the critical issues. In any real‐world cryptographic system, issues like these can be handled by one of the most practical bio‐cryptosystem schemes popularly known as fuzzy vault (FV). The secret key is encoded in a polynomial equation merged with physiological value and then combined with chaff (noise) points forming the FV. The most critical and computational intensive task in the FV is the chaff point generation, that is used to hide the valid point inside the vault pattern. In this paper, we propose an Enhanced Flower Pollination Algorithm based Chaff Point generation method with Hardware (EFPCH) implementation and have been proved to be a computationally fast and feasible algorithm for hardware implementation. The security of the FV depends on the infeasibility of the polynomial reconstruction and also in large number of chaff point. The existing methods for chaff point generation had taken less number of valid points and generate a maximum of 200 chaff points. But in our experimental result, we generated large number of chaff point (1:12) with a considerable amount of valid points over the existing algorithm. This work describes the key agreement model and implementation step required for identifying External programmer attached to the patient pacemaker. However, existing key agreement schemes have too many computational intensive tasks, making it unsuitable for system‐on‐chip (SoC) implementation. In the result of the described work, a practical SoC implementation of the wireless environment in WBAN is experimented. The results show that our proposed model has a more efficient implementation in generating larger chaff points and performs better than other current methods.