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Author:

Liu, J. (Liu, J..) | Liu, Z. (Liu, Z..) | Sun, C. (Sun, C..) | Zhuang, J. (Zhuang, J..)

Indexed by:

Scopus

Abstract:

Wireless sensor networks (WSNs) have become increasingly popular due to the rapid growth of the Internet of Things. As open wireless transmission media are easy to attack, security is one of the primary design concerns for WSNs. Current solutions consider routing and data encryption as two isolated issues, providing incomplete security. Therefore, in this paper, we divide the WSN communication process into a data path selection phase and a data encryption phase. We propose an improved transmission method based on ant colony optimization (ACO) and threshold proxy re-encryption for WSNs, and we named it as ACOTPRE. The method resists internal and external attacks and ensures safe and efficient data transmission. In the data path selection stage, the ACO algorithm is used for network routing. The improvement of the pheromone concentration is proposed. In order to resist attacks from external attackers, proxy re-encryption is extended to WSN in the data encryption stage. The threshold secret sharing algorithm is introduced to generate a set of re-encryption key fragments composed of random numbers at the source node. We confirm the performance of our model via simulation studies. © The Author(s) 2022.

Keyword:

ant colony optimization proxy re-encryption wireless sensors network threshold pheromone

Author Community:

  • [ 1 ] [Liu J.]College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liu J.]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing, 100124, China
  • [ 3 ] [Liu Z.]College of Automation Engineering, Beijing Polytechnic, Beijing, 100176, China
  • [ 4 ] [Sun C.]College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Zhuang J.]College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Artificial Intelligence and Technology

ISSN: 2766-8649

Year: 2022

Issue: 1

Volume: 2

Page: 23-31

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 25

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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