Analysis of Routing Attacks in FANETs

Abstract

Unmanned aerial vehicles (UAVs) in flying ad-hoc networks (FANETs) face security challenges due to the dynamic and distributed nature of these networks. This paper presents the Federated Learning-based Intrusion Detection System (FL-IDS), an innovative approach designed to improve FANET security. FL-IDS leverages federated learning to address privacy concerns of centralized intrusion detection systems. FL-IDS operates in a decentralized manner, enabling UAVs to collaboratively train a global intrusion detection model without sharing raw data. Local models are assigned to each UAV, using client-specific data, and only updated model weights are shared with a central server. This preserves privacy while utilizing collective intelligence for effective intrusion detection. Experimental results show FL-IDS's competitive performance with Central IDS (C-IDS) while mitigating privacy concerns. The Bias Towards Specific Clients (BTSC) method further enhances FL-IDS performance, surpassing C-IDS even at lower attacker ratios. A comparative analysis with traditional intrusion detection methods, including Local IDS (L-IDS), provides insights into FL-IDS's strengths. This study significantly contributes to FANET security by introducing a privacy-aware, decentralized intrusion detection approach tailored to the unique challenges of UAV networks.

Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial

“…f) Sybil attacks: A Sybil attack involves an intruder creating multiple fake identities (Sybil nodes) to mimic different nodes in the network [14]. The intruder strategically places these fake nodes to gain a disproportionately high influence over routing decisions, resulting in an excessive level of control and influence over data integrity, energy consumption, and the overall system performance.…”

“…Machine learning's influence on UAVs is examined in [13] for wireless communications and for autonomous navigation. Furthermore, in [14] examines the opportunities and challenges of Flying Ad Hoc Networks (FANET) to revolutionize UAV capabilities. Geracy et al [15] envision a future where 6G technology enhances UAV connectivity and communication, collectively enriching the UAV landscape and contributing to their integration into various industries and applications.…”