Work

Exploring computationally efficient signcryption mechanisms for unmanned aerial vehicles (UAVs): a comparative review

Year: 2025

Type: article

Abstract: Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly important in modern times due to their ability to perform a wide range of tasks in both civilian and military sectors. However, the resource-constrained nature of UAVs, along with the need for secure data transmission, poses considerable challenges for cryptographic implementations. To address these challenges, lightweight cryptographic solutions have been proposed over the last several years to meet the unique demands of UAV networks. One such solution is called signcryption, which combines encryption and digital signatures into a single step, offering the most suitable cryptographic solution for UAV security. This comparative review article analyzes the most up-to-date signcryption mechanisms, particularly those proposed for UAVs, by comparing their various cryptographic methods and identifying the most suitable one. With this article, we also aim to explore the key security requirements and challenges that a typical UAV usually experiences. The key findings are then presented, and potential research directions are identified.

Source: Iran Journal of Computer Science

DOI: 10.1007/s42044-025-00304-1

Authors: Muhammad Asghar Khan, Gordana Barb, Fazal Noor

Institutions: Prince Mohammad bin Fahd University, Politehnica University of Timisoara, Islamic University of Madinah

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,190