QuantIoT Novel Quantum Resistant Cryptographic Algorithm for Securing IoT Devices: Challenges and Solution

Author:

Farooq Mansoor1,khan Rafi1,Khan Prof. Mubashir Hassan2

Affiliation:

1. University of Kashmir

2. Cluster University Srinagar

Abstract

Abstract With the emergence of quantum computing, traditional cryptographic algorithms face the threat of being compromised, necessitating the development of quantum-resistant alternatives. The Internet of Things (IoT) paradigm presents unique security challenges due to its vast scale and resource-constrained devices. This research aims to address these challenges by proposing a novel quantum-resistant cryptographic algorithm QuantIoT specifically designed for securing IoT devices. The research begins by evaluating the vulnerabilities of existing cryptographic algorithms against quantum attacks and identifying the need for post-quantum solutions in the IoT context. Various families of post quantum cryptographic algorithms, including lattice based and hash based schemes, are examined to assess their suitability for securing IoT devices. Based on the analysis, a novel quantum-resistant cryptographic algorithm tailored for IoT devices is proposed. The algorithm takes into account the limited computational capabilities, power constraints, and communication requirements of IoT devices while offering strong defence against both conventional and quantum threats. The proposed algorithm is evaluated through simulations and practical experiments on a representative IoT platform. Performance metrics, including computation time, memory usage, and communication overhead, are measured and compared against traditional cryptographic algorithms. The results show that the suggested quantum-resistant technique for protecting IoT devices is workable and effective. This research contributes to the growing body of knowledge on post-quantum cryptography and provides valuable insights for the design and implementation of secure IoT systems in the face of quantum threats.

Publisher

Research Square Platform LLC

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1. Securing Bluetooth Technology Against BrakTooth Vulnerabilities Through Hybrid Machine Learning Model;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

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