TY - JOUR

T1 - Smart Optimization Solution for Channel Access Attack Defense under UAV-aided Heterogeneous Network

AU - Han, Zhaoyang

AU - Yang, Yaoqi

AU - Bilal, Muhammad

AU - Wang, Weizheng

AU - Krichen, Moez

AU - Alsadhan, Abeer Abdullah

AU - Ge, Chunpeng

N1 - Publisher Copyright: IEEE

PY - 2023/6/1

Y1 - 2023/6/1

N2 - 6G-based wireless communication system is poised to redefine the next-generation network landscape by enabling novel services and applications such as intelligent link establishment, power control, data collection, transmission, and distribution. However, security issues, particularly recently revealed Channel Access Attack (CAA), present significant challenges to performance optimization tasks in the heterogeneous wireless networks of 6G, namely, Age of Information (AoI) Oriented Network (AoN), Throughput Oriented Network (ToN), and Latency Oriented Network (LoN). To address these challenges, this paper presents a game theory-based smart optimization solution to enable Unmanned Aerial Vehicles (UAV) to resist CAA within a 6G-based heterogeneous network. Our methodology begins by outlining the advantages and challenges associated with UAV usage, followed by the design of performance indicators and intelligent resource allocation schemes under the influence of CAA. Subsequently, we introduce definitions and categories within game theory, encompassing the concept and equilibrium of three typical game models. The efficacy of our proposed framework is validated through simulation results, which demonstrate the achievement of optimal AoI, enhanced throughput, and reduced latency compared with baseline methodologies when countering CAA in a UAV-assisted heterogeneous network.

AB - 6G-based wireless communication system is poised to redefine the next-generation network landscape by enabling novel services and applications such as intelligent link establishment, power control, data collection, transmission, and distribution. However, security issues, particularly recently revealed Channel Access Attack (CAA), present significant challenges to performance optimization tasks in the heterogeneous wireless networks of 6G, namely, Age of Information (AoI) Oriented Network (AoN), Throughput Oriented Network (ToN), and Latency Oriented Network (LoN). To address these challenges, this paper presents a game theory-based smart optimization solution to enable Unmanned Aerial Vehicles (UAV) to resist CAA within a 6G-based heterogeneous network. Our methodology begins by outlining the advantages and challenges associated with UAV usage, followed by the design of performance indicators and intelligent resource allocation schemes under the influence of CAA. Subsequently, we introduce definitions and categories within game theory, encompassing the concept and equilibrium of three typical game models. The efficacy of our proposed framework is validated through simulation results, which demonstrate the achievement of optimal AoI, enhanced throughput, and reduced latency compared with baseline methodologies when countering CAA in a UAV-assisted heterogeneous network.

KW - 6G mobile communication

KW - channel access attack

KW - Communication system security

KW - game theory

KW - Optimization

KW - Task analysis

KW - Throughput

KW - unnamed aircraft vehicle

KW - Wireless networks

KW - Wireless sensor networks

U2 - 10.1109/JIOT.2023.3281942

DO - 10.1109/JIOT.2023.3281942

M3 - Journal article

AN - SCOPUS:85161584577

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

SN - 2327-4662

ER -