Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET

As there has been an advancement in avionic systems in recent years, the enactment of unmanned aerial vehicles (UAV) has upgraded. As compared to a single UAV system, multiple UAV systems can perform operations more inexpensively and efficiently. As a result, new technologies between user/control station and UAVs have been developed. FANET (Flying Ad-Hoc Network) is a subset of the MANET (Mobile Ad-Hoc Network) that includes UAVs. UAVs, simply called drones, are used for collecting sensitive data in real time. The security and privacy of these data are of priority importance. Therefore, to overcome the privacy and security threats problem and to make communication between the UAV and the user effective, a competent anonymous mutual authentication scheme is proposed in this work. There are several methodologies addressed in this work such as anonymous batch authentication in FANET which helps to authenticate a large group of drones at the same time, thus reducing the computational overhead. In addition, the integrity preservation technique helps to avoid message alteration during transmission. Moreover, the security investigation section discusses the resistance of the proposed work against different types of possible attacks. Finally, the proposed work is related to the prevailing schemes in terms of communication and computational cost and proves to be more efficient. View Full-Text

Keywords: authentication; privacy; security; FANET

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Rajasekaran, A.S.; Maria, A.; Al-Turjman, F.; Altrjman, C.; Mostarda, L. Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET. Drones 2022, 6, 14. https://doi.org/10.3390/drones6010014

AMA Style

Rajasekaran AS, Maria A, Al-Turjman F, Altrjman C, Mostarda L. Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET. Drones. 2022; 6(1):14. https://doi.org/10.3390/drones6010014

Chicago/Turabian Style

Rajasekaran, Arun S., Azees Maria, Fadi Al-Turjman, Chadi Altrjman, and Leonardo Mostarda. 2022. "Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET" Drones 6, no. 1: 14. https://doi.org/10.3390/drones6010014

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Arun Sekar Rajasekaran

Arun Sekar Rajasekaran received his Bachelor’s degree in Electronics and Communication Engineering from Sri Ramakrishna Engineering College in 2008, his Master’s degree in VLSI Design in 2013, and his Doctorate of Philosophy in Low Power VLSI design from Anna University, Chennai in 2019. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at GMR Institute of Technology, Rajam, Andhra Pradesh. He has nearly 12 years of teaching experience. He has published more than 24 papers in international conferences and 23 reputed indexed journals, namely, IEEE Transactions on Industrial informatics, Springer (Microprocessor and microsystems, Computers and electrical engineering), Elsevier, IET communications, IEEE Access, and Concurrency and computation (Wiley) publications. His areas of interest are low power VLSI design, network security, blockchain, body area networks, and image processing. He is a life member of ISTE, IETE, ISRD, and IEANG. Email: [email protected], [email protected]

Azees Maria

Maria Azees received a B.E. in Electronics and Communication Engineering and an M.E. degree in Applied Electronics from the St. Xavier’s Catholic College of Engineering, Nagercoil, India, which is affiliated under Anna University, Chennai, India, in 2011 and 2013, respectively, and a Ph.D. degree from the Faculty of Information and Communication Engineering, Anna University, in 2017. He is currently working as a Senior Assistant Professor with the GMR Institute of Technology, Rajam, India. He has already published the research articles in some of the reputed journals, such as the IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on industrial informatics, Cluster Computing (Springer), and IET Intelligent Transport Systems. His research interests include security in wireless sensor networks, blockchain technology, and VANETs. He is currently one of the Academic Editors of Security and Communication Networks (Wiley).

Fadi Al-Turjman

Fadi Al-Turjman received his Ph.D. in Computer Science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks’ deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015–2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editor for several well reputed journals, including IEEE Communications Surveys and Tutorials (IF 22.9) and Elsevier Sustainable Cities and Society (IF 4.7).

Chadi Altrjman

Chadi Altrjman is working as an associate scientist and researcher in Near East University, Cyprus and received his Bachelor of Engineering from the University of Waterloo, Ontario, Canada. Currently, he is involved in several smart projects via which he is expanding his practical skills. His research interests include AI and machine learning, wireless sensor networks, chemical sensors, sustainable and renewable energy integration, distributed power generation, and smart grid applications.

Leonardo Mostarda

I am an Associate Professor at Camerino University, Italy. I got my Ph.D. in 2006 at University of L'Aquila. In 2006, I worked as a research associate on the CUSPIS FP6 project in cooperation with the European Space Agency (ESA). In 2007, I was a research associate in the Computing Department, Distributed System and Policy Group, Imperial College London. In 2010, I was Senior Lecturer at Middlesex University in the Distributed Systems and Networking Department. http://www.leonardomostarda.net/

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Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET

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