Efficient anonymous authentication scheme for automatic dependent surveillance‐broadcast system with batch verification

Jegadeesan, S.; Azees, Maria; Neelakandan, Ramesh Babu; Rajasekaran, Arun Sekar

doi:10.1049/cmu2.12152

Cited by 20 publications

(14 citation statements)

References 40 publications

(79 reference statements)

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“…Security and privacy are the major concern in the IoD environment [11][12][13][14]. There are many works focused on security issues concerning drones [15], but this work not only discusses the security issues but also focuses on the location privacy of the drones.…”

Section: Related Workmentioning

confidence: 99%

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

Rajasekaran¹,

Azees²,

Al‐Turjman³

et al. 2022

Drones

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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.

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Section: Related Workmentioning

confidence: 99%

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

Rajasekaran¹,

Azees²,

Al‐Turjman³

et al. 2022

Drones

Self Cite

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“…A CL-NCRS can meet the unconditional anonymity [18][19][20]: no attacker can obtain the private key of all possible signers in illegal ways. For the adversary, since a j (j ≠ s and a j ≠ 1) is randomly chosen from Z * q , then the probability of selecting a 1 , a 2 , .…”

Section: □ Theorem 4 Cl-ncrs Can Satisfy the Unconditional Anonymity Of Ring Signersmentioning

confidence: 99%

Certificateless Network Coding Ring Signature Scheme

Wang

2021

Security and Communication Networks

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Traditional certificateless ring signature is not suitable for the network coding environment. In this view, a new certificateless network coding ring signature (CL-NCRS) is devised by using the techniques of multisource network coding and certificateless ring signature. Network coding is a kind of information interaction technology and can improve system robustness and save wireless network resources. CL-NCRS satisfies the unforgeability and unconditional anonymity; moreover, it has relatively higher communication and computational efficiency.

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“…Also, the physically unclonable functions provide lightweight mutual authentication and maintain the 𝑉′𝑠 physical security. Further, the Blockchain is utilized to keep track of 𝑉 𝑖 parameters, user authentication information, preserve the trustworthiness of the distributed untrusted VANET and improve the scalability of the VANET during authentication [8][9][10][11][12][13]. In the proposed system, authentication information is one of the essential parameters.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Physically Secure and Privacy-Aware Anonymous Authentication Scheme for Fog-Based Vanets

Jegadeesan¹,

Azees

Rajasekaran

et al. 2023

IEEE Access

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Vehicular Ad-hoc Networks (VANETs) have a lot of potential for improving traffic management and driver safety. However, employing a wireless channel for vehicle communication has security and privacy concerns such as authentication, confidentiality, integrity, access control, and availability. Hence, it is essential to address the security and privacy aspects of the vehicles utilized in these contexts. In this research, a blockchain-based physically secure, and privacy-aware anonymous authentication technique leveraging the fog computing architecture to support the movement, reduced latency, and location monitoring is suggested to solve security and privacy concerns. The decentralized nature of blockchain technology is used to ensure the data security of vehicles. The vehicle is not required to store the secret keys to do anonymous authentication and provides physical security for the vehicle. The suggested scheme provides essential security features with less storage, computational, and communication costs than related competitive schemes.

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Efficient anonymous authentication scheme for automatic dependent surveillance‐broadcast system with batch verification

Cited by 20 publications

References 40 publications

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

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

Certificateless Network Coding Ring Signature Scheme

Blockchain-Based Physically Secure and Privacy-Aware Anonymous Authentication Scheme for Fog-Based Vanets

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