Decentralized Privacy Provision in Dynamically Reconfigurable and Self-Organizing Aero-Physical Cyber Systems

The paper introduces a data and communication security approach in decentralized, cloud-based, self-organizing unmanned aerial vehicles (UAV) swarms. UAV swarms exhibit emergent behavior, where local interactions lead to globally coordinated actions. Peers within the swarm autonomously establish communication links, adapt to changes in hazardous and hostile environments, and collaboratively perform distributed tasks without relying on a fixed infrastructure or external control. Each UAV in the swarm is governed by aerodynamics and physical constraints like lift, drag, and weight which together determine their maneuverability and real-time stability. In our construction, the underlying logical and technological framework consists of three main models, each developed by the authors: the information full exchange during the swarm quasi-random walk; the rotor-router model interpreting the peers’ discrete-time walk, and fault-tolerant gossip/broadcast schemes supporting the swarm resilience to internal failures and external cyber-attacks. The proposed cloud network topology encompasses connectivity options and ensures the swarm’s expected behavior. To ensure swarm security, we suggest embedding a blockchain-equipped robust identity verification scheme to ensure peers’ tamper-proof, transparent, and decentralized authentication, while accounting for the inherent limitations posed by their resource-constrained nature.

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Publication Details

Journal
Physics of Particles and Nuclei
Published
2025-10-25
DOI
https://doi.org/10.1134/s1063779625700406
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Decentralized Privacy Provision in Dynamically Reconfigurable and Self-Organizing Aero-Physical Cyber Systems

Vahagn Poghosyan, Yeghisabet Alaverdyan, Suren Poghosyan, Hrachya V. Astsatryan
Physics of Particles and Nuclei
Adversarial Robustness in Machine Learning
article

Decentralized Privacy Provision in Dynamically Reconfigurable and Self-Organizing Aero-Physical Cyber Systems

Vahagn Poghosyan, Yeghisabet Alaverdyan, Suren Poghosyan, Hrachya V. Astsatryan
article en

Abstract

The paper introduces a data and communication security approach in decentralized, cloud-based, self-organizing unmanned aerial vehicles (UAV) swarms. UAV swarms exhibit emergent behavior, where local interactions lead to globally coordinated actions. Peers within the swarm autonomously establish communication links, adapt to changes in hazardous and hostile environments, and collaboratively perform distributed tasks without relying on a fixed infrastructure or external control. Each UAV in the swarm is governed by aerodynamics and physical constraints like lift, drag, and weight which together determine their maneuverability and real-time stability. In our construction, the underlying logical and technological framework consists of three main models, each developed by the authors: the information full exchange during the swarm quasi-random walk; the rotor-router model interpreting the peers’ discrete-time walk, and fault-tolerant gossip/broadcast schemes supporting the swarm resilience to internal failures and external cyber-attacks. The proposed cloud network topology encompasses connectivity options and ensures the swarm’s expected behavior. To ensure swarm security, we suggest embedding a blockchain-equipped robust identity verification scheme to ensure peers’ tamper-proof, transparent, and decentralized authentication, while accounting for the inherent limitations posed by their resource-constrained nature.

Physics of Particles and NucleiVol. 56(6)
Institute for Informatics and Automation Problems (AM)
Openalex Percentile: Top 84%
Adversarial Robustness in Machine Learning
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Decentralized Privacy Provision in Dynamically Reconfigurable and Self-Organizing Aero-Physical Cyber Systems — Vahagn Poghosyan, Yeghisabet Alaverdyan, et al. · Physics of Particles and Nuclei (2025) | TGRS Research Map | TGRS