1,515 research outputs found
Malicious Digital Penetration of United States Weaponized Military Unmanned Aerial Vehicle Systems: A National Security Perspective Concerning the Complexity of Military UAVs and Hacking
The United States’ (US) military unmanned aerial vehicle (UAV) has seen increased usage under the post 9/11 military engagements in the Middle East, Afghanistan, and within American borders. However, the very digital networks controlling these aircrafts are now enduring malicious intrusions (hacking) by America’s enemies. .
The digital intrusions serve as a presage over the very digital networks the US relies upon to safeguard its national security and interests and domestic territory. The complexity surrounding the hacking of US military UAVs appears to be increasing, given the advancements in digital networks and the seemingly inauspicious nature of artificial intelligence and autonomous systems. Being most victimized by malicious digital intrusions, the US continues its military components towards growing dependence upon digital networks in advancing warfare and national security and interests. Thus, America’s netcentric warfare perspectives may perpetuate a chaotic environment where the use of military force is the sole means of safeguarding its digital networks
Cyber Risk Assessment and Scoring Model for Small Unmanned Aerial Vehicles
The commercial-off-the-shelf small Unmanned Aerial Vehicle (UAV) market is expanding rapidly in response to interest from hobbyists, commercial businesses, and military operators. The core commercial mission set directly relates to many current military requirements and strategies, with a priority on short range, low cost, real time aerial imaging, and limited modular payloads. These small vehicles present small radar cross sections, low heat signatures, and carry a variety of sensors and payloads. As with many new technologies, security seems secondary to the goal of reaching the market as soon as innovation is viable. Research indicates a growth in exploits and vulnerabilities applicable to small UAV systems, from individual UAV guidance and autopilot controls to the mobile ground station devices that may be as simple as a cellphone application controlling several aircraft. Even if developers strive to improve the security of small UAVs, consumers are left without meaningful insight into the hardware and software protections installed when buying these systems. To date, there is no marketed or accredited risk index for small UAVs. Building from similar domains of aircraft operation, information technologies, cyber-physical systems, and cyber insurance, a cyber risk assessment methodology tailored for small UAVs is proposed and presented in this research. Through case studies of popular models and tailored mission-environment scenarios, the assessment is shown to meet the three objectives of ease-of-use, breadth, and readability. By allowing a cyber risk assessment at or before acquisition, organizations and individuals will be able to accurately compare and choose the best aircraft for their mission
A systematic literature review on Security of Unmanned Aerial Vehicle Systems
Unmanned aerial vehicles (UAVs) are becoming more common, and their
operational range is expanding tremendously, making the security aspect of the
inquiry essential. This study does a thorough assessment of the literature to
determine the most common cyberattacks and the effects they have on UAV
assaults on civilian targets. The STRIDE assault paradigm, the challenge they
present, and the proper tools for the attack are used to categorize the cyber
dangers discussed in this paper. Spoofing and denial of service assaults are
the most prevalent types of UAV cyberattacks and have the best results. No
attack style demands the employment of a hard-to-reach gadget, indicating that
the security environment currently necessitates improvements to UAV use in
civilian applications.Comment: 10 Pages, 4 Figure
Intrusion Detection Systems for Flying Ad-hoc Networks
Unmanned Aerial Vehicles (UAVs) are becoming more dependent on mission
success than ever. Due to their increase in demand, addressing security
vulnerabilities to both UAVs and the Flying Ad-hoc Networks (FANET) they form
is more important than ever. As the network traffic is communicated through
open airwaves, this network of UAVs relies on monitoring applications known as
Intrusion Detection Systems (IDS) to detect and mitigate attacks. This paper
will survey current IDS systems that include machine learning techniques when
combating various vulnerabilities and attacks from bad actors. This paper will
be concluded with research challenges and future research directions in finding
an effective IDS system that can handle cyber-attacks while meeting performance
requirements.Comment: 5 Pages, 1 figure, 1 table, 41 Reference
Internet of Drones (IoD): Threats, Vulnerability, and Security Perspectives
The development of the Internet of Drones (IoD) becomes vital because of a
proliferation of drone-based civilian or military applications. The IoD based
technological revolution upgrades the current Internet environment into a more
pervasive and ubiquitous world. IoD is capable of enhancing the
state-of-the-art for drones while leveraging services from the existing
cellular networks. Irrespective to a vast domain and range of applications, IoD
is vulnerable to malicious attacks over open-air radio space. Due to increasing
threats and attacks, there has been a lot of attention on deploying security
measures for IoD networks. In this paper, critical threats and vulnerabilities
of IoD are presented. Moreover, taxonomy is created to classify attacks based
on the threats and vulnerabilities associated with the networking of drone and
their incorporation in the existing cellular setups. In addition, this article
summarizes the challenges and research directions to be followed for the
security of IoD.Comment: 13 pages, 3 Figures, 1 Table, The 3rd International Symposium on
Mobile Internet Security (MobiSec'18), Auguest 29-September 1, 2018, Cebu,
Philippines, Article No. 37, pp. 1-1
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