Detection of false data attacks in sensor networks based on the APIT location algorithm
by YuGuang Ye
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 16, No. 6, 2023

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.

Online publication date: Tue, 14-Nov-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomous and Adaptive Communications Systems (IJAACS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com