Algorithms for operating self-organizing swarms of UAVs implementing full exchange of information

Poghosyan, Suren; Alaverdyan, Yeghisabet; Poghosyan, Vahagn; Lazyan, Artyom; Hayrapetyan, Davit; Shoukourian, Yuri

doi:10.1063/5.0135806

Cited by 2 publications

(2 citation statements)

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“…Identification and authentication of UAVs are performed using a blockchain developed specifically for swarm membership validation. Here, computationally heavy proof of work is replaced by a secure MPC on the embedded Knödel Graph isomorphism [1]. An elliptic curve and a quasigroup with its parastrophs (𝑄, Digitally distributed, decentralized, public blockchain will exist across the swarm network.…”

Section: Tamper_proof Solution For Asserting or Claiming The Swarm Me...mentioning

confidence: 99%

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Tamper-Proof Hardware Solution and Algorithms for UAV Swarms Operating in Hostile Environments

Poghosyan,

Alaverdyan

2023

Proceedings of Computer Science and Information Technologies 2023 Conference

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The paper presents a zero-trust approach to ensuring cybersecurity in self-organized UAV swarms operating in hostile or dangerous environments. Depending on task performance and safety considerations, mission-oriented swarms of UAVs may normally change the planned flight routes, update session keys, automatically destroy data when being corrupted, or detect hostile outsiders, which is a significant security factor. The proposed algorithms will make it possible to assert and verify the membership of UAVs within the swarm during the flight. Identification and strong authentication of individual UAVs are based on secure multi-party computations.

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Section: Tamper_proof Solution For Asserting or Claiming The Swarm Me...mentioning

confidence: 99%

“…Regrouping UAVs within swarms and employing collective intelligence undoubtedly increase the likelihood of targeted tasks' successful performance. Mathematical preliminaries and fault-tolerant models for obtaining information full exchange in decentralized and self-organizing systems are given in [1].…”

Section: Introductionmentioning

confidence: 99%

Tamper-Proof Hardware Solution and Algorithms for UAV Swarms Operating in Hostile Environments

Poghosyan,

Alaverdyan

2023

Proceedings of Computer Science and Information Technologies 2023 Conference

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Swarm Security

Tayyab,

Mumtaz,

Muzammal

et al. 2024

Advances in Information Security, Privacy, and Ethics

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An era marked by revolutionary advancements in miniaturization and artificial intelligence has ushered in the age of drone swarms. These formations characterized by coordinated fleets of miniature aerial vehicles (MAVs) offer undeniable potential for unparalleled efficiency in diverse applications. Therefore, the field of “swarm security” delves into how drone swarms have reshaped the security landscape. Compared to lone drones, infected drones within a swarm could potentially seize control of the entire group, posing the chilling risk of coordinated attacks on critical infrastructure or densely populated areas. To strengthen cybersecurity frameworks, this study investigates the intertwined complexities of legal frameworks and technological advancements. The authors explore modern defenses like signal jamming and AI-powered threat detection, while also raising ethical concerns about weapons and responsible use. Moreover, a future where the revolutionary potential of drone swarms is harnessed for the benefit of society has been explored through understanding and mitigating risks.

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Algorithms for operating self-organizing swarms of UAVs implementing full exchange of information

Cited by 2 publications

References 7 publications

Tamper-Proof Hardware Solution and Algorithms for UAV Swarms Operating in Hostile Environments

Tamper-Proof Hardware Solution and Algorithms for UAV Swarms Operating in Hostile Environments

Swarm Security

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