Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles
Maryam Faraji-Biregani, Reza Fotohi

TL;DR
This paper presents a two-phase security method for UAV communication that detects and isolates malicious UAVs using rules and mobile agents, enhancing security and efficiency in dynamic aerial networks.
Contribution
The paper introduces a novel two-phase approach combining rule-based detection and mobile agent negotiation to improve security against malicious UAVs.
Findings
Higher detection rate than existing methods
Lower false positive and false negative rates
Improved packet delivery and energy efficiency
Abstract
Unmanned aerial vehicles (UAVs) can be deployed to monitor very large areas without the need for network infrastructure. UAVs communicate with each other during flight and exchange information with each other. However, such communication poses security challenges due to its dynamic topology. To solve these challenges, the proposed method uses two phases to counter malicious UAV attacks. In the first phase, we applied a number of rules and principles to detect malicious UAVs. In this phase, we try to identify and remove malicious UAVs according to the behavior of UAVs in the network in order to prevent sending fake information to the investigating UAVs. In the second phase, a mobile agent based on a three-step negotiation process is used to eliminate malicious UAVs. In this way, we use mobile agents to inform our normal neighbor UAVs so that they do not listen to the data generated by…
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