Electronic Warfare Cyberattacks, Countermeasures and Modern Defensive Strategies of UAV Avionics: A Survey
- URL: http://arxiv.org/abs/2504.07358v1
- Date: Thu, 10 Apr 2025 00:56:52 GMT
- Title: Electronic Warfare Cyberattacks, Countermeasures and Modern Defensive Strategies of UAV Avionics: A Survey
- Authors: Aaron Yu, Iuliia Kolotylo, Hashim A. Hashim, A. E. E. Eltoukhy,
- Abstract summary: Unmanned Aerial Vehicles (UAVs) play a pivotal role in modern autonomous air mobility.<n>The success of UAV missions depends on effectively mitigating various aspects of electronic warfare.<n>This paper provides a comprehensive review of UAV cyberattacks, countermeasures, and defensive strategies.
- Score: 1.6874375111244329
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Unmanned Aerial Vehicles (UAVs) play a pivotal role in modern autonomous air mobility, and the reliability of UAV avionics systems is critical to ensuring mission success, sustainability practices, and public safety. The success of UAV missions depends on effectively mitigating various aspects of electronic warfare, including non-destructive and destructive cyberattacks, transponder vulnerabilities, and jamming threats, while rigorously implementing countermeasures and defensive aids. This paper provides a comprehensive review of UAV cyberattacks, countermeasures, and defensive strategies. It explores UAV-to-UAV coordination attacks and their associated features, such as dispatch system attacks, Automatic Dependent Surveillance-Broadcast (ADS-B) attacks, Traffic Alert and Collision Avoidance System (TCAS)-induced collisions, and TCAS attacks. Additionally, the paper examines UAV-to-command center coordination attacks, as well as UAV functionality attacks. The review also covers various countermeasures and defensive aids designed for UAVs. Lastly, a comparison of common cyberattacks and countermeasure approaches is conducted, along with a discussion of future trends in the field. Keywords: Electronic warfare, UAVs, Avionics Systems, cyberattacks, coordination attacks, functionality attacks, countermeasure, defensive-aids.
Related papers
- Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator [3.1006820631993515]
We develop camera-camouflaged adversarial attacks targeting traffic sign recognition in AVs.<n>The results show that such an attack can delay the auto-braking response to the stop sign, resulting in potential safety issues.<n>The proposed attack and defense methods are applicable to other end-to-end trained autonomous cyber-physical systems.
arXiv Detail & Related papers (2025-02-03T17:30:43Z) - Cybersecurity Threat Analysis And Attack Simulations For Unmanned Aerial Vehicle Networks [0.0]
This research explores the urgent necessity to defend UAV networks from new cyber threats.
The two essential areas of our study are assault simulation and threat analysis in cybersecurity.
This work demonstrates how easy it is to hack a drone mid-flight using only a Raspberry Pi3 and open-source online tools.
arXiv Detail & Related papers (2024-02-12T10:42:11Z) - Survey on Security Attacks in Connected and Autonomous Vehicular Systems [0.0]
This study provides a brief review of the state of cyber security in the CAVs environment.
It categorizes the multiple cybersecurity threats and weaknesses in the context of CAVs into three groups: attacks on the vehicles network, attacks on the Internet at large, and other attacks.
It details the most uptodate defense tactics for securing CAVs and analyzes how effective they are.
arXiv Detail & Related papers (2023-10-14T06:37:05Z) - UAV Swarm-enabled Collaborative Secure Relay Communications with
Time-domain Colluding Eavesdropper [115.56455278813756]
Unmanned aerial vehicles (UAV) as aerial relays are practically appealing for assisting Internet Things (IoT) network.
In this work, we aim to utilize the UAV to assist secure communication between the UAV base station and terminal terminal devices.
arXiv Detail & Related papers (2023-10-03T11:47:01Z) - Evidential Detection and Tracking Collaboration: New Problem, Benchmark
and Algorithm for Robust Anti-UAV System [56.51247807483176]
Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military.
Previous works have simplified such an anti-UAV task as a tracking problem, where prior information of UAVs is always provided.
In this paper, we first formulate a new and practical anti-UAV problem featuring the UAVs perception in complex scenes without prior UAVs information.
arXiv Detail & Related papers (2023-06-27T19:30:23Z) - A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions [1.0923877073891446]
It is critical that security is ensured for UAVs and the networks that provide communication between UAVs.
This survey seeks to provide a comprehensive perspective on security within the domain of UAVs and Flying Ad Hoc Networks (FANETs)
arXiv Detail & Related papers (2023-06-25T16:15:40Z) - Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the
Age of AI-NIDS [70.60975663021952]
We study blackbox adversarial attacks on network classifiers.
We argue that attacker-defender fixed points are themselves general-sum games with complex phase transitions.
We show that a continual learning approach is required to study attacker-defender dynamics.
arXiv Detail & Related papers (2021-11-23T23:42:16Z) - Adversarial defense for automatic speaker verification by cascaded
self-supervised learning models [101.42920161993455]
More and more malicious attackers attempt to launch adversarial attacks at automatic speaker verification (ASV) systems.
We propose a standard and attack-agnostic method based on cascaded self-supervised learning models to purify the adversarial perturbations.
Experimental results demonstrate that the proposed method achieves effective defense performance and can successfully counter adversarial attacks.
arXiv Detail & Related papers (2021-02-14T01:56:43Z) - Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking [59.06167734555191]
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commerce and recreation.
We consider the task of tracking UAVs, providing rich information such as location and trajectory.
We propose a dataset, Anti-UAV, with more than 300 video pairs containing over 580k manually annotated bounding boxes.
arXiv Detail & Related papers (2021-01-21T07:00:15Z) - Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests [0.0]
Unmanned Aerial Vehicles (UAVs) are remote-controlled vehicles capable of flight.
Cyber attacks on UAVs can bring a plethora of issues to physical and virtual systems.
To mitigate such attacks, it is necessary to identify and patch vulnerabilities.
arXiv Detail & Related papers (2020-08-09T00:40:54Z) - Investigating Robustness of Adversarial Samples Detection for Automatic
Speaker Verification [78.51092318750102]
This work proposes to defend ASV systems against adversarial attacks with a separate detection network.
A VGG-like binary classification detector is introduced and demonstrated to be effective on detecting adversarial samples.
arXiv Detail & Related papers (2020-06-11T04:31:56Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.