TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

A mechanism to ensure identity-based anonymity and authentication for IoT infrastructure using cryptography

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* Corresponding author · click or hover a name for details

pp. 1597–1611Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1827 Crossmark XML
Published Online:
09 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1827
Pages:
1597–1611

Abstract

The spread of the Internet of Things (IoT) has caused a variety of devices to communicate with one another, producing enormous volumes of data and nurturing a linked ecosystem. However, the privacy of users, the integrity of the data, and secure authentication are seriously jeopardised by this link. In this context, we suggest a unique technique that makes use of identity-based anonymity and cryptographic authentication in IoT infrastructure in order to solve these problems.In order to facilitate safe communications between IoT devices, users, and service providers, our proposed mechanism creates a third-party authenticated protocol. This anonymity protection reduces the danger of unauthorised tracking and data exploitation by securing user names and usage patterns from possible attackers.The proposed system ensures the integrity and confidentiality of data transmitted between IoT devices and service providers by utilising sophisticated encryption algorithms. Additionally, it simplifies the authentication procedure, improving system efficiency overall without sacrificing security. The proposed technique into practise and assessed it using real-world IoT infrastructure scenarios, showcasing how well it protects user privacy and ensures safe communication. The findings show that the mechanism has a low computing cost and can withstand a range of security threats, making it a viable option for identity-based anonymity and authentication in IoT networks. Our approach makes a significant contribution to protecting user data and encouraging trustworthy interactions in IoT infrastructure as the IoT environment continues to grow.

Keywords

Subject Classifications

Primary 68T07Secondary 68M25

References

[1] B. H. Taher, S. Jiang, A. A. Yassin, and H. Lu, “Low-overhead remote user authentication protocol for iot based on a fuzzy extractor and feature extraction,” IEEE Access, vol. 7, pp. 148950–148966 (2019).
[2] P. Chandrakar and H. Om, “A secure and robust anonymous three-factor remote user authentication scheme for multi-server environment using ECC,” Computer Communications, vol. 110, pp. 26–34 (2017).
[3] Y. Lu, G. Xu, L. Li, and Y. Yang, “Anonymous three-factor authenticated key agreement for wireless sensor networks,” Wireless Networks, vol. 25, no. 4, pp. 1461–1475 (2019).
[4] J. Mo and H. Chen, “A Lightweight Secure User Authentication and Key Agreement Protocol for Wireless Sensor Networks,” Security and Communication Networks, vol. 2019, Article ID 2136506, 17 pages (2019). 
[5] S. Ajani and M. Wanjari, “An Efficient Approach for Clustering Uncertain Data Mining Based on Hash Indexing and Voronoi Clustering,” 2013 5th International Conference and Computational Intelligence and Communication Networks, pp. 486-490 (2013), doi: 10.1109/CICN.2013.106.
[6] Y. W. Zhou, B. Yang, and Q. L. Wang, “Certificate-resistant leakage-free hybrid signoff mechanism for provable security,” Journal of Software, vol. 27, no. 11, pp. 2898–2911 (2016).
[7] P. Xu and W. Xue, “Publicly verifiable certificateless hybrid signature encryption scheme,” Computer Applications in Software, vol. 34, no. 11 (2017).
[8] Y. Zhang and J. Hou, “An efficient certificateless hybrid signature encryption scheme for electronic authentication,” Information Security Research, vol. 5, no. 10, pp. 879–886 (2019).
[9] H. F. Yu and B. Yang, “Provably secure certificateless hybrid signcryption,” Chinese Journal of Computers, vol. 38, no. 4, pp. 804–813 (2015).
[10] Sapkal, Vinod, Gupta, Praveen & Khan, Aboo Bakar. Deep learning based phishing website identification system using CNN-LSTM classifier, Journal of Information and Optimization Sciences, 44:3, 315–330 (2023), DOI: 10.47974/JIOS-1343.
[11] C.-h Wu and Z.-x Cheng, “A new efficient certificateless signcryption scheme[C],” in Proceedings of ISISE 2008.IEEE Computer Society, pp. 661–664, NW Washington, DC (2008).
[12] S. S. D. Selvi, S. S. Vivek, and D. Shukla, “Efficient and provably secure certificateless multi-receiver sign encryption[C],” in Proceedings of ProvSec 2008, LNCS 5324, pp. 52–67, Springer-Verlag, Berlin (2008).
[13] Anil Kumar & Sandeep Kumar Sharma. Information cryptography using cellular automata and digital image processing, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1105-1111 (2022), DOI: 10.1080/09720529.2022.2072437.
[14] L. Peng-cheng, M.-x. He, and L. Xiao, “Efficient and probably secure certificateless signcryption from bilinear pairings,” Journal of Computational Information Systems, vol. 6, no. 11, pp. 3643–3650 (2010).
[15] Khetani, V., Gandhi, Y., Bhattacharya, S., Ajani, S. N., & Limkar, S., Cross-Domain Analysis of ML and DL: Evaluating their Impact in Diverse Domains. International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 253–262 (2023).

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