Analysis of Lightweight Block Cipher FeW on the Basis of Neural Network
Harmony Search and Nature Inspired Optimization Algorithms, 2018
Over the past few years, several lightweight ciphers have been proposed to supplement the Interne... more Over the past few years, several lightweight ciphers have been proposed to supplement the Internet of Things (IOT). FeW is one of the lightweight ciphers, which uses a mix of Feistel and generalized Feistel structures to achieve high efficiency in software-based department. This paper focuses on the analysis of lightweight block cipher FeW using the machine learning approach. This approach involves using artificial neural network to find the inherited biases present in the design of FeW.
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Papers by Aayush Jain