Configurable Anonymous Authentication Schemes For The Internet of Things (IoT)

Rasheed, Amar; Hashemi, Ray R.; Bagabas, Ayman; Young, Jeffrey A.; Badri, Chanukya; Patel, Keyur

doi:10.1109/rfid.2019.8719256

Cited by 12 publications

(4 citation statements)

References 15 publications

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“…Further, with the burgeoning growth of Internet of Things (IoT) security and blockchain ecosystems, the integration of ZKPs is surfacing as a critical trend [7]. The maturity of this model and its effective implementation present a potential solution to offset limitations inherent in blockchain ecosystems [8].…”

Section: Literature Reviewmentioning

confidence: 99%

“…ZKPs bear the potential to significantly bolster IoT security and privacy. Scholars such as Rasheed et al [8] advocate for the use of configurable models employing ZKPs for enhancing IoT security, whilst Cui et al [9] emphasise the role of ZKPs in ensuring privacy in blockchain-based systems. The exploration of ZKP applications such as Zerocoin, Zerocash, Hawk, and Bolt is also documented [10,11].…”

Section: Literature Reviewmentioning

confidence: 99%

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A Multi-Round Zero Knowledge Proof Algorithm for Secure IoT and Blockchain Environments

Rani,

Janakiraman,

Chandra

et al. 2023

IJSSE

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Presented herein is a novel algorithm for multi-round, zero-knowledge proof (ZKP), devised specifically for authenticating factorisation proofs within a variety of cryptographic applications. This advanced algorithm, while maintaining computational complexity within acceptable bounds, offers a secure and proficient solution. The functionality of the algorithm is marked by multiple rounds of interaction between the Prover and Verifier. Initially, the Prover generates a random value and calculates a commitment. Subsequently, the Verifier issues a random challenge, eliciting a computed response from the Prover. To validate the proof, the Verifier verifies the equality of the commitment and the computed response. Efficaciousness of the proposed multi-round ZKP algorithm is demonstrated across diverse input sizes and parameters. Results indicate a success rate exceeding 90% on average, showcasing the robustness of the method. The recurring interaction between the Verifier and Prover enhances the Prover's authentication, thereby improving the algorithm’s reliability. Implementation of the algorithm, achievable through standard cryptographic tools and protocols, can fortify the security of multiple cryptographic applications. A significant application can be found in Digital Identity Management Systems (DIMS). Currently, these systems are vulnerable to a myriad of threats, including identity spoofing, data breaches, and internal security risks. The application of the ZKP algorithm can simultaneously augment security and withhold sensitive information, potentially transforming the DIMS security landscape. Future research may focus on improving the efficiency and scalability of the multi-round ZKP algorithm. There also remains a vast potential for exploring additional applications of this technique within various cryptographic domains.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Round Zero Knowledge Proof Algorithm for Secure IoT and Blockchain Environments

Rani,

Janakiraman,

Chandra

et al. 2023

IJSSE

View full text Add to dashboard Cite

show abstract

“…Simulation results show that the proposed method is secure and efficient compared with other authentication methods for moving devices. Configurable unidentified authentication methods for the IoTs is suggested in [123], where the author explains the two configurable S&P preserving authentication methods zero knowledge proof and common secret encoding and performance is assessed in terms of delay and power consumption. A secure pairing for devices by means of Wi-Fi signals is proposed in [124], where two devices automatically authenticate and acquire shared key consistent with the CSI of the Wi-Fi signal.…”

Section: A Encoding Authentication In Discoverymentioning

confidence: 99%

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

et al. 2020

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Device to Device (D2D) communications is a candidate technology for the fifth-generation (5G) and beyond mobile networks and certainly that results in high throughput, less energy consumption, reduce delay, and data traffic offload. Proximity services are the key enablers of D2D communications. A D2D technology boosts the performance and capacity of a conventional cellular system through the proximity services. To initiate the proximity services, Device Discovery (DD) is one of the the primary tasks. A DD makes the decision for effective D2D communications in terms of accuracy, speed, and minimum energy consumption. To discover the neighbor devices, the discovery signal is transmitted directly or through some access points. The discovery signal is affected by invaders during transmission which causes inaccuracy, energy consumption, and latency. Therefore, security and privacy issues must be addressed, especially in discovery signal transmission. In this paper, security and privacy issues in DD are highlighted. It is comprehensive and proves that in-band is much better than out-band with practical and technological reasons. To enhance the scope of the research, network level, and system level Security and Privacy (S&P) issues in the distributed and centralized systems environment with or without central management are surveyed. Along with an extensive survey is provided for the most recent work on DD concerning security and privacy issues, and comparison among in-band and out-band DD is performed. In the end, open issues are identified as future work on DD security and privacy in D2D communications. It is a novel survey in terms of security and privacy aspects of DD with possible suggested solutions for readers' motivation.

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“…The wireless communication is more vulnerable to malicious adversaries, which causes user privacy disclosure and security threats (Cha and Yeh, 2018;Alotaibi, 2019). Many schemes have been proposed to address these problems, some for IoT (Rasheed et al, 2019;Alotaibi, 2019), some for SCM (Ahamed et al, 2020;Ren et al, 2016) and some for medical system (Youssef et al, 2019;Mehra et al, 2018;Sanchez et al, 2019;Safkhani and Vasilakos, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Classified Protection Protocol for RFID-based Medical Systems

Ren

Jiang

2020

American Journal of Biochemistry and Biotechnology

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RFID technology has been used in many medical systems. The data transmitted in these medical systems is very important and sensitive. The security of these private data has a wide range of risks. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. These protocols are difficult to apply directly. To address this problem, a reliable RFID based medical system classification protection protocol is proposed in this study without assuming that the channels between readers and server are safe. The protocol allows different participants to access the authorized tag data. The proposed protocol adopts timestamp, one-way hash function and mutual authentication procedure to provide security protection and good performance. Based on a formal analysis, GNY logic is used to verify the design correctness of the protocol. According to the analysis of attack model, the protocol can resist various attacks: Internal attack, replay attack, tracking attack, spoofing attack and DOS attack. Performance analysis indicates that the protocol has less communication overload, similar storage requirements and acceptable computation load compared with other related protocol.

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Configurable Anonymous Authentication Schemes For The Internet of Things (IoT)

Cited by 12 publications

References 15 publications

A Multi-Round Zero Knowledge Proof Algorithm for Secure IoT and Blockchain Environments

A Multi-Round Zero Knowledge Proof Algorithm for Secure IoT and Blockchain Environments

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

A Classified Protection Protocol for RFID-based Medical Systems

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