Autonomous Strike UAVs for Counterterrorism Missions: Challenges and Preliminary Solutions

Meshari Aljohani; Ravi Mukkamala; Stephan Olariu

doi:10.20944/preprints202401.0072.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 31 December 2023 / Approved: 2 January 2024 / Online: 3 January 2024 (02:24:28 CET)

UAVs are becoming a crucial tool in modern warfare, primarily due to their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. The use of autonomous UAVs to conduct strike missions against highly valuable targets is the focus of this research. Due to developments in ledger technology, smart contracts, and machine learning, such activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of challenges and potential solutions for successful implementation of an autonomous UAV mission.

Drone; UAV; Smart contract; black box; random forest

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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Autonomous Strike UAVs for Counterterrorism Missions: Challenges and Preliminary Solutions

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