Title: Malicious communication node location method of smart campus network considering multi-dimensional mapping relationship

Authors: Wenjing Ma; Ketong Liu; Lixia Hou

Addresses: Centre for Modern Educational Technology, Hebei Institute of Mechanical and Electrical Technology, XingTai, Hebei, China ' Centre for Modern Educational Technology, Hebei Institute of Mechanical and Electrical Technology, XingTai, Hebei, China ' Department of Modern Services, Hebei Women's Vocational College, Shijiazhuang, Hebei, China

Abstract: To improve the security of smart campus networks and accurately identify malicious nodes within them, a malicious communication node location method considering multidimensional mapping is designed in this paper. Firstly, the attributes of smart campus network communication nodes and the attack mode of malicious communication nodes are analysed. Then, the temporal behaviour association between the attacker and the attacked party is established by using the reverse backtracking method, and abnormal variables in the network are obtained based on the multidimensional mapping relationship, so as to detect malicious nodes. Finally, the modified RSSI model and trilateral prime-centre method are used to locate the malicious communication nodes accurately. According to the experimental results, the positioning error rate of the proposed method is always below 0.05, and the minimum positioning time during the test is only 1841 ms, indicating that the proposed method is effective.

Keywords: smart campus network; malicious communication node; node detection; node location; multidimensional mapping relationship; RSSI model; trilateral prime centre method.

DOI: 10.1504/IJCAT.2024.143294

International Journal of Computer Applications in Technology, 2024 Vol.74 No.4, pp.333 - 341

Received: 01 Mar 2024
Accepted: 08 Jul 2024
Published online: 12 Dec 2024 *

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