Title: Detection of false data attacks in sensor networks based on the APIT location algorithm

Authors: YuGuang Ye

Addresses: Quanzhou Normal University, Quanzhou, 362000, Fujian, China; Fujian Provincial Key Laboratory of Data Intensive Computing, Quanzhou, 362000, Fujian, China; Key Laboratory of Intelligent Computing and Information Processing, Fujian Province University, Quanzhou, 362000, Fujian, China

Abstract: In order to overcome the big error problem of false data location in traditional false data attack detection methods for sensor networks, this paper proposes a new false data attack detection method for sensor networks based on the APIT location algorithm. The range of false data attacks in sensor networks is detected, and the target node is selected. Its vertex signal strength is used to compare it with the signal strength of a neighbour node. The APIT location algorithm is used to determine whether the attacked node is in the triangle, and all the overlapping area centroids of available small areas are the positions of false data attack nodes to complete the detection of false data attacks. The experimental results show that the accuracy of detecting false data attacks in sensor networks is over 99%, and network security and communication performance have improved.

Keywords: APIT location algorithm; sensor network; false data; attack detection; overlapping area.

DOI: 10.1504/IJAACS.2023.134846

International Journal of Autonomous and Adaptive Communications Systems, 2023 Vol.16 No.6, pp.584 - 596

Received: 09 Jul 2020
Accepted: 10 Oct 2021
Published online: 14 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article