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

Abstract

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.

Reactive Handover Coordination System with Regenerative Blockchain Principles for Swarm Unmanned Aerial Vehicles

“…The principal idea for obtaining these values is to compute the local cost magnitude function and global cost magnitude function [Equation ( 6) and ( 7 . Similarly, autonomous control function of cooperative UAV community is defined in equation (9). Crucially, the proposed RHCRB handling trusted UAV activities in the network through secure control functions.…”

“…Due to these problems, the entire UAV coordination system's stability and secrecy rapidly fail. Against these vulnerable states, Rajasekaran et al [9] propose secure location privacy principles for developing advanced avionics systems. The security principles invented in this work have formed mutual batch authentication functions, integrity checking functions, offline node registration jobs, and location privacy functions.…”

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

“…Furthermore, the arrangement makes it challenging for drones to send emergency alerts to the GCS. Rajasekaran et al 48 proposed a public‐private key based drone to user mutual authentication and a group authentication scheme with location privacy. However, in this design, location of the drone is not validated and the secret keys are stored on drones, making them vulnerable to attackers in the event of a hijacking.…”

Physically secure and privacy‐preserving blockchain enabled authentication scheme for internet of drones

“…The present literature focuses solely on primary concerns and provides an overview of IoD without a detailed protocol framework. [7][8][9][10][11] In IoD communications, mutual authentication, and privacy are two main security challenges. The adversaries mainly target drones, which are used in sensitive applications to capture confidential information, the identity of the drone, and its flying pattern.…”