Mechanism for Cloud Computing Enviroment's Reliable Au-thenticated Token Handling

GiriBabu Sadineni; Janardhan Reddy D; Adusumalli Niharika; Kommu Tejaswini; Golla Vandana; Padmini Biyyapu

doi:10.55524/ijirem.2023.10.2.21

Abstract

Cloud computing (CC) has matured in terms of dependability and effectiveness, which has led to the migration of many applications to the cloud. Three-factor Multilateral Authenticity and Knowledge Acceptance (MAKA) mechanisms for multi-server systems are gaining a lot of interest for their convenience and security. Although there are many extant three-factor MAKA protocols, none of them give a rigorous secure guarantee, making them vulnerable to numerous assaults on other procedures in the chain. And most three-factor MAKA mechanisms lack adaptive cancellation mechanisms, preventing malevolent users from being quickly removed. We present a three-factor MAKA protocol with a proven adaptive reversible evidence in the arbitrary source to overcome these issues. This method uses Schnorr identities to enable vibrant administration by the client. In multi-server setups, our procedure is capable of meeting a wide range of requirements. For intelligent systems with low processing power, the suggested method is a viable option. The entire computation code demonstrates the system's viability.

Keywords

Mechanisms, Adaptive devices, intelligent system, Computation, Acceptance.

References

L. Lamport, “Password authentication with insecure communication,” Commun. ACM, vol. 24, no. 11, pp. 770–772, 1981.
X. Huang, Y. Xiang, A. Chonka, J. Zhou, and R. H. Deng, “A generic framework for three-factor authentication: Preserving security and privacy in distributed systems,” IEEE Trans. Parallel Distrib. Syst., vol. 22, no. 8, pp. 1390–1397, Aug. 2011.
X. Huang, Y. Xiang, E. Bertino, J. Zhou, and L. Xu, “Robust multifactor authentication for fragile communications,” IEEE Trans. Dependable Secure Comput., vol. 11, no. 6, pp. 568– 581,Nov./Dec. 2014.
D. He, S. Zeadally, N. Kumar, and J. Lee, “Anonymous authentication for wireless body area networks with provable security,” IEEE Syst. J., vol. 22, pp. 1–12, 2016.
L. Li, L. Lin, and M. Hwang, “A remote password authentication scheme for multiserver architecture using neural networks,” IEEE Trans. Neural Netw., vol. 12, no. 6, pp. 1498–1504, Nov. 2001.
W. Juang, “Efficient multi-server password authenticated key agreement using smart cards,” IEEE Trans. Consumer Electron., vol. 50, no. 1, pp. 251–255, Feb. 2004.
C. C. Chang and J. S. Lee, “An efficient and secure multi-server password authentication scheme using smart cards,” in Proc. Int. Conf. Cyberworlds, 2004, pp. 417–422.
J.-L. Tsai, “Efficient multi-server authentication scheme based on one-way hash function without verification table,” Comput. Secur., vol. 27, no. 3C4, pp. 115–121, 2008.
W. Tsaur, J. Li, and W. Lee, “An efficient and secure multi-server authentication scheme with key agreement,” J. Syst. Softw., vol. 85, no. 4, pp. 876–882, 2012.
Y. Liao and C. Hsiao, “A novel multi-server remote user authentication scheme using self-certified public keys for mobile clients,” Future Generation Comput. Syst., vol. 29, no. 3, pp. 886–900, 2013.
T. S. Messerges, E. A. Dabbish, and R. H. Sloan, “Examining smart-card security under the threat of power analysis attacks,” IEEE Trans. Comput., vol. 51, no. 5, pp. 541–552, May 2002.
D. Wang and P. Wang, Offline Dictionary Attack on Password Authentication Schemes Using Smart Cards. New York, NY, USA: Springer International Publishing, 2015.
J. K. Lee, S. R. Ryu, and K. Y. Yoo, “Fingerprint-based remote user authentication scheme using smart cards,” Electron. Lett., vol. 38, no. 12, pp. 554–555, 2002.
C. Lin and Y. Lai, “A flexible biometrics remote user authentication scheme,” Comput. Standards Interfaces, vol. 27, no. 1, pp. 19–23, 2004.
C. Chang and I. Lin, “Remarks on fingerprint-based remote user authentication scheme using smart cards,” Operating Syst. Rev., vol. 38, no. 4, pp. 91–96, 2004.
H. Kim, S. Lee, and K. Yoo, “Id-based password authentication scheme using smart cards and fingerprints,” Operating Syst. Rev., vol. 37, no. 4, pp. 32–41, 2003.
M. Scott, “Cryptanalysis of an id-based password authentication scheme using smart cards and fingerprints,” Operating Syst. Rev., vol. 38, no. 2, pp. 73–75, 2004.
M. K. Khan and J. Zhang, “Improving the security of ’a flexible biometrics remote user authentication scheme’,” Comput. Standards Interfaces, vol. 29, no. 1, pp. 82–85, 2007.
E. Yoon and K. Yoo, “Robust biometrics-based multi-server authentication with key agreement scheme for smart cards on elliptic curve cryptosystem,” J. Supercomputing, vol. 63, no. 1, pp. 235–255, 2013.
H. Kim, W. Jeon, K. Lee, Y. Lee, and D. Won, “Cryptanalysis and improvement of a biometrics-based multi-server authentication with key agreement scheme,” in Proc. Int. Conf. Comput. Sci. ppl., 2012, pp. 391–406.
D. He and D. Wang, “Robust biometrics-based authentication scheme for multiserver environment,” IEEE Syst. J., vol. 9, no. 3, pp. 816–823, Sep. 2015.
V. Odelu, A. K. Das, and A. Goswami, “A secure biometrics-based multi-server authentication protocol using smart cards,” IEEE Trans. Inf. Forensics Secur., vol. 10, no. 9, pp. 1953–1966, Sep. 2015.
A. G. Reddy, E. J. Yoon, A. K. Das, V. Odelu, and K. Y. Yoo, “Design of mutually authenticated key agreement protocol resistant to impersonation attacks for multi-server environment,” IEEE Access, vol. 5, pp. 3622–3639, Feb. 2017.
M. L. Das, A. Saxena, and V. P. Gulati, “A dynamic id-based remote user authentication scheme,” IEEE Trans. Consumer Electron., vol. 50, no. 2, pp. 629–631, May 2004.
Y. Wang, J. Liu, F. Xiao, and J. Dan, “A more efficient and secure dynamic id-based remote user authentication scheme,” Comput. Commun., vol. 32, no. 4, pp. 583–585, 2009.
K. Yeh, C. Su, N. Lo, Y. Li, and Y. Hung, “Two robust remote user authentication protocols using smart cards,” J. Syst. Softw., vol. 83, no. 12, pp. 2556–2565, 2010.
F. Wen and X. Li, “An improved dynamic id-based remote user authentication with key agreement scheme,” Comput. Electr. Eng., vol. 38, no. 2, pp. 381–387, 2012.
D. He, S. Zeadally, N. Kumar, and W. Wu, “Efficient and anonymous mobile user authentication protocol using self-certified public key cryptography for multi-server architectures,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 9, pp. 2052–2064, Sep. 2016.

Cites this article as

G. Sadineni, J. R. D. , A. Niharika, K. Tejaswini, G. Vandana, P. Biyyapu, "Mechanism for Cloud Computing Enviroment's Reliable Au-thenticated Token Handling", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-10, Issue-2, Page No-111-114, 2023. Available from: https://doi.org/10.55524/ijirem.2023.10.2.21

Corresponding Author

GiriBabu Sadineni

Associate Professor, Department of Computer Science & Engineering, PACE Institute of Technology & Sciences, Ongole, Andhra Pradesh, India

Download Full Paper

Download PDF

No. of Downloads: 20 | No. of Views: 734

Deep Learning Approaches for SYN Flood Detection in Internet Service Providers Network

Preet Bhutani, Chandra Sekhar Dash.

August 2024 - Vol 11, Issue 4
Blockchain-Based Decentralized NFT Marketplace For New Fine Art

Tushar Maurya, Saurav Kumar Singh, Vikram Thakur, Sachin Chawla.

June 2024 - Vol 11, Issue 3
An Optimized Approach for Emotion Detection in Real- Time for Twitter Sentiment Analysis with Natural Language Processing

Sangeeta Devi, Munish Saran, Rajan Kumar Yadav, Pranjal Maurya, Upendra Nath Tripathi.

June 2024 - Vol 11, Issue 3

-->

Mechanism for Cloud Computing Enviroment's Reliable Au-thenticated Token Handling

Citations

Download Full Paper PDF

Total View 734

Total Download 20