Confidential and authenticated communications in a large fixed-wing UAV swarm

Thompson, Richard B.; Thulasiraman, Preetha

doi:10.1109/nca.2016.7778644

Cited by 11 publications

(4 citation statements)

References 13 publications

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“…It also potentially allows the UAVs to be dispersed across a larger area without sacrificing reliable data transfers. In addition, this approach allows some security concerns to be addressed at the infrastructure level, however it would be unlikely to fully satisfy the requirements of more sensitive information without additional application-layer features [6].…”

Section: Related Workmentioning

confidence: 99%

Supply Chain Cybersecurity and Small and Medium-Sized Enterprises (SMEs): Exploring Shortcomings in Third Party Risk Management of SMEs

Kwong,

Pearlson

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Recent advancements in unmanned aerial vehicle (UAV) capabilities have led to increasing research into swarming systems. Unfortunately, efforts to date have not resulted in viable secure communications frameworks, and the limited processing power and constrained networking environments that characterize these systems preclude the use of many existing secure group communications protocols. The Messaging Layer Security (MLS) protocol, currently under development at the Internet Engineering Task Force (IETF), offers some attractive properties for these types of systems. This work looks at integrating MLS into the Advanced Robotic Systems Engineering Laboratory (ARSENL) UAV swarm system as a means of assessing its efficacy. Implementation test results are presented both for experiments conducted in a simulation environment and with physical UAVs.

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Section: Related Workmentioning

confidence: 99%

Supply Chain Cybersecurity and Small and Medium-Sized Enterprises (SMEs): Exploring Shortcomings in Third Party Risk Management of SMEs

Kwong,

Pearlson

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Related research on UxS secure links focuses on ciphertext algorithm performance [8,9] or on the improvement of network topography to allow for current cryptographic protocols to continue to function [10,11]. Secure communication protocols such as TLS and DTLS have been tested for efficiency in IoT [12,13], a somewhat related domain to unmanned systems.…”

Section: Uxs Securitymentioning

confidence: 99%

Multi-Device Security Application for Unmanned Surface and Aerial Systems

Leon,

Britt,

Hale

2024

Drones

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The use of autonomous and unmanned systems continues to increase, with uses spanning from package delivery to simple automation of tasks and from factory usage to defense industries and agricultural applications. With the proliferation of unmanned systems comes the question of how to secure the command-and-control communication links among such devices and their operators. In this work, we look at the use of the Messaging Layer Security (MLS) protocol, designed to support long-lived continuous sessions and group communication with a high degree of security. We build out MAUI—an MLS API for UxS Integration that provides an interface for the secure exchange of data between a ScanEagle unmanned aerial vehicle (UAV) and an unmanned surface vehicle (USV) in a multi-domain ad-hoc network configuration, and experiment on system limits such as the ciphersuite set-up time and message handling rates. The experiments in this work were conducted in virtual and physical environments between the UAV, USV, and a controller device (all of different platforms). Our results demonstrate the viability of capitalizing on MLS’s capabilities to securely and efficiently transmit data for distributed communication among various unmanned system platforms.

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“…As shown in (17), the eigenvalue, which evaluates the level of significance of the cross-layer attributes, are required to compute the linear transformation matrix. The different choices of cross-layer attributes will result in an individual linear transformation matrix.…”

Section: B Adaptive Cross-layer Attribute Selection Algorithmmentioning

confidence: 99%

“…One of the traditional techniques in authentication is encryption technology such as the Advanced Encryption Standard (AES) [17]. However, the rapid computational power development increases the potential of deciphering the encryption algorithms, which makes the attacker easier to impersonate a legitimate UAV and become the new CH [18].…”

Section: Introductionmentioning

confidence: 99%

Safeguarding Cluster Heads in UAV Swarm Using Edge Intelligence: Linear Discriminant Analysis-Based Cross-Layer Authentication

Wang

Fang

Wang

2021

IEEE Open J. Commun. Soc.

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While the unmanned aerial vehicles (UAVs) swarm travels under a dynamic environment, the cluster head (CH) switching is unavoidable due to the mitigation of mobility, quality of service, and energy consumption. If an attacker becomes the new CH, the entire swarm will be controlled and the sensitive data will be leaked. Unlike the other mobile networks with constant network connectivity, the authentication in the UAV swarm suffers from intermittent connection with the ground station under a hostile environment or spectrum constraint condition. Hence, this paper proposes a novel CH safeguarding mechanism enabled by edge intelligence utilizing a situational-aware authentication scheme. This low-latency mechanism provides extra security at the CH selection and switching without cloud server support. By adopting the unique cross-layer attributes, the system security is significantly improved based on the extracted multi-dimensional information. The Linear Discriminant Analysis (LDA) algorithm fuses the authentication decision accurately by projecting the high dimensional estimations into a low dimensional space for maximum separability by only keeping the necessary attributes. A situation-aware cross-layer attribute selection algorithm is developed to select a minimum number of attributes so that the time required for attribute estimation and computation overhead of authentication can be reduced. The simulation results demonstrate that our scheme performs better under a dynamic environment compared with the physical layer authentication scheme and some existing state-of-the-art authentication techniques.

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Confidential and authenticated communications in a large fixed-wing UAV swarm

Cited by 11 publications

References 13 publications

Supply Chain Cybersecurity and Small and Medium-Sized Enterprises (SMEs): Exploring Shortcomings in Third Party Risk Management of SMEs

Supply Chain Cybersecurity and Small and Medium-Sized Enterprises (SMEs): Exploring Shortcomings in Third Party Risk Management of SMEs

Multi-Device Security Application for Unmanned Surface and Aerial Systems

Safeguarding Cluster Heads in UAV Swarm Using Edge Intelligence: Linear Discriminant Analysis-Based Cross-Layer Authentication

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