Title: Nature inspired hybrid algorithms for binding shared key with user trait
Authors: P. Suresh; K.R. Radhika
Addresses: Department of Information Science and Engineering, BMS College of Engineering, Visvesvaraya Technological University, India ' Department of Information Science and Engineering, BMS College of Engineering, Visvesvaraya Technological University, India
Abstract: Increased digital transactions accentuate the need for secure communication over open channels. Confidentiality and safe distribution of shared key is a mandatory requirement in symmetric key-based systems. The work proposes a novel nature inspired optimisation technique for binding secret key with user traits extracted from iris biometrics. Validation of key binding is demonstrated by ensuring that successful decryption happens by authorised user alone. Nature inspired swarm and population algorithms are used to extract optimal feature vectors from user trait. Chicken swarm optimisation and deer hunting optimisation algorithms have been used for the first time with iris traits to achieve optimal key binding. Experiments for different shared key lengths have been carried out with IIT Delhi and Multimedia University iris datasets. Accuracy of the proposed model is 7% better than whale optimisation algorithm and 4% better than grey wolf optimisation.
Keywords: symmetric key; iris biometric; nature inspired algorithms; neural network.
International Journal of Applied Pattern Recognition, 2021 Vol.6 No.3, pp.217 - 231
Received: 08 Sep 2020
Accepted: 10 Dec 2020
Published online: 23 Aug 2021 *