Soleymani, Seyed Ahmad, Shojafar, Mohammad, Foh, Chaun Heng, Goudarzi, Shidrokh ORCID: https://orcid.org/0000-0003-0383-3553 and Wang, Wenwu (2024) Secure Target-Tracking by UAVs in O-RAN Environment. In: 2024 IFIP Networking Conference (IFIP Networking), 03-06 June 2024, Thessaloniki, Greece.

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Abstract

The paper presents a comprehensive inves￾tigation into a secure target-tracking system employ￾ing Unmanned Aerial Vehicles (UAVs) within urban
environments. We introduce the Enhanced Multi-Agent
Q-Learning (E-MAQL) algorithm designed to enhance
target-tracking accuracy while minimizing energy con￾sumption by UAVs. Additionally, we propose a robust
security framework leveraging Deep Q-Networks (DQN)
for Intrusion Detection Systems (IDS), alongside the
implementation of Advanced Encryption Standard (AES)
and Lightweight AES (LW-AES) protocols to ensure
secure communication within the Open Radio Access
Network (O-RAN) architecture. Our evaluations validate
the effectiveness of E-MAQL in improving tracking
performance and reducing energy consumption, while
the proposed security framework demonstrates promising
results in detecting and mitigating potential security
threats within O-RAN-based systems. Furthermore, we
measured the False Positive Ratio (FPR) of the IDS
at 6%. Notably, our security framework significantly
enhances the target-tracking system’s accuracy by 33%
when exposed to false injection data attacks, elevating
accuracy from 53% to 86%.

Item Type:	Conference or Workshop Item (Paper)
ISSN:	1861-2288
Identifier:	10.23919/IFIPNetworking62109.2024.10619786
Identifier:	10.23919/IFIPNetworking62109.2024.10619786
Subjects:	Computing
Depositing User:	Shidrokh Goudarzi
Date Deposited:	02 Dec 2024 09:21
Last Modified:	02 Dec 2024 09:21
URI:	https://repository.uwl.ac.uk/id/eprint/12942

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