AI‐enabled blockchain and SDN‐integrated IoT security architecture for cyber‐physical systems

Author:

Wang Sen1,Zhang Jie2,Zhang Tianhui3

Affiliation:

1. Intelligence and Command Center of Zhumadian Municipal Public Security Bureau Zhumadian China

2. Henan Haina Construction Management Co., Ltd Zhengzhou China

3. Henan Liyou Software Development Co., Ltd. Zhumadian China

Abstract

AbstractTo address the IoT security problem, in this paper we propose and evaluate the DDoS attack mitigation method based on blockchain, and construct a DDoS abnormal information detection and sharing model. The obtained experimental results show that when the number of decision trees increases, the training time of the DDoS attack detection model based on the RF model grows with a minimum trend of 14 s. The testing time is finally maintained at 1 s, and the recognition accuracy of DDoS attacks keeps improving, ultimately reaching over 99.8%. If the amount of DDoS abnormal traffic information exceeds 100 pieces and 2000 pieces, it only takes 0.1 and 5 s to sign the DDoS abnormal traffic information using ECDSA algorithm digitally. The signature verification only takes 0.1 and 9 s, respectively. And compared to conventional network physical system IoT security architecture, a network physical system IoT security architecture that integrates AI empowerment, blockchain, and SDN integration has a higher joint defense success rate. It can be explained that this scheme will be conducive to promoting joint defense against DDoS attacks and ensuring the security of the Internet of Things.

Publisher

Wiley

Subject

Modeling and Simulation,Control and Systems Engineering,Energy (miscellaneous),Signal Processing,Computer Science Applications,Computer Networks and Communications,Artificial Intelligence

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