WITHDRAWN: DESD-CAT inspired algorithm for establishing trusted connection in energy efficient FoG-BAN networks

Abstract

Abstract Advanced technology utilization in medical field is emerging filed to reduce workload and time by providing earlier disease diagnosis and provide quality treatment. In this field to establish trusted connection from the attackers and providing secure data transfer among the interconnected sensors are challenging tasks. To overcome these problems, an attack identification scheme is required in trustable intra Body Area Network. Existing Trust-BAN networks are framed based on residual energy, Nodes distance, Cooperative communication and nodes behavior strategy. In this category nearest sensor nodes gathered all such nature details, based on that untrusted nodes are identified. But this is not suitable always in realistic situations. So an intelligent adaptive solution is needed in FoG computing based Body Area environment to identify malignant nodes. Hence proposed trust-based model, trustable nodes are identified using proper handshaking techniques which are happened in internal wireless Body Area Nodes, based on node id, Sensor localization, Channel Id ,Residual Energy, Delay and original sensor informations. This work also explaining about trust based energy efficient model for classifying malicious nodes from authorized sensor nodes. After classifying malicious nodes the remaining nodes in the WBAN form a trusted-cluster in order to provide proper handshaking signals among them. In every group the cluster head is selected based on the CAT inspired intelligent algorithm. By utilizing a Chaos based encryption techniques and adaptive fitness functions biomedical datas are encrypted in FoG server for further analysis and maintaining Integrity of data. The experimental results clearly explains that the proposed work achieve good performance in terms of precision, recall, throughput ,delay and other network centric performance measures compare to the firefly algorithm.