Authenticated key exchange protocol security of cloud services management using machine learning

Agrawal, Vani; Dubey, Nilesh; Singh, Virendra; Singla, Nepali; Kumar, Sarvesh; Goyal, Dinesh

doi:10.47974/JDMSC-1761

Open Access Research Article

Authenticated key exchange protocol security of cloud services management using machine learning

^*Vani AgrawalCorresponding authorvaniagrawal.cse@itmuniversity.ac.inDepartment of CSAITM University GwaliorMadhya Pradesh, IndiaView full profile → , Nilesh Dubeynileshdubey.ce@charusat.ac.inDevang Patel Institute of Advance Technology and ResearchCharotar University of Science and TechnologyGujarat, 388421, IndiaView full profile → , Virendra Singhvirendsingh17@gmail.comDepartment of Computer ApplicationBabu Banarsi Das UniversityLucknow, Uttar Pradesh, IndiaView full profile → , Nepali Singlanepalishimla@gmail.comAffiliation 1Department of CSABES Engineering CollegeGhaziabad, Uttar Pradesh, 201009, IndiaAffiliation 2Syam Machinathu Parambil Gangadharan, The Home DepotU.S.A.View full profile → , Sarvesh Kumarkr.sarvi91@gmail.comDepartment of Computer Science & EngineeringBabu Banarasi Das UniversityLucknow, Uttar Pradesh, 226028, IndiaView full profile → , Dinesh Goyaldinesh8dg@gmail.comDepartment of CSEPoornima Institute of Engineering and TechnologyJaipur, Rajasthan, IndiaView full profile →

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pp. 1381–1391Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1761 Crossmark XML

Published Online:: 09 Sep 2023
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1761
Pages:: 1381–1391

Abstract

The reason for cloud-based confirmation is to shield organizations from programmers attempting to take classified data. Cloud validation permits approved clients across organizations and landmasses to safely get to data put away in the cloud with verification given through cloud-based administrations. Artificial intelligent (AI) permits organizations to empower the information to show the framework how to tackle the central issue with AI calculations and how to get better after some time. The present undertakings are assaulted with information. To drive better business decisions, they need to sort out it. Distributed computing is a huge term for all Data Science and Machine Learning Enthusiasts. It is far-fetched that you probably won’t have run over it, even as a juvenile. The most important issue is that this type of security is needed for the cloud services. A clear explanation for this is that as the dataset develops, i.e., more models and features are added, the AI model ends up being more multifaceted. Internet Key Exchange (IKE) is a standard convention used to set up a safe and confirmed correspondence channel between two gatherings through a virtual private network (VPN). The convention guarantees security for VPN exchange, remote host and organization access.

Keywords

Machine learning security Cloud security organizations Cloud authenticated system parameters Cloud secure services Security management Cloud security simulation

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] Meena, G., & Choudhary, S. Biometric authentication in internet of things: A conceptual view. Journal of Statistics and Management Systems, 22(4) (2019).
[2] Tiwari, A., Kumar, S., Baishwar, N., Vishwakarma, S. K., & Singh, P. (2022, September). Efficient Cloud Orchestration Services in Computing. In Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication: MARC 2021 (pp. 739-746). Singapore: Springer Nature Singapore.
[3] R. Arun Raj, S.N. George, and P.P. Deepthi. An expeditious chaos based digital image encryption algorithm. In Recent Advances in Information Technology (RAIT), 2012 1st International Conference on (2012).
[5] David M. Curry. Practical application of chaos theory to systems engineering. Procedia CS (2012).
[6] Wenping Guo. A new digital image scrambling encryption algorithm based on chaotic sequence. In Computer Research and Development (ICCRD), 2011 3rd International Conference on, volume 1 (2011).
[7] Dhanda, S. S., Singh, B., & Jindal, P. Demystifying elliptic curve cryptography: Curve selection, implementation and countermeasures to attacks. Journal of Interdisciplinary Mathematics, 23(2) (2020).
[8] Yue Sun and Guangyi Wang. An image encryption scheme based on modified logistic map. In Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on (2011).
[9] Tiwari, A., Sah, M. K., & Malhotra, A. Effective service Utilization in Cloud Computing exploitation victimisation rough pure mathematics as revised ROSP. In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions) (pp. 1-6). IEEE (2015, September).
[10] L. Kocarev and S. Lian. Chaos-based Cryptography: Theory, Algorithms and Applications. Studies in Computational Intelligence. Springer (2011).
[11] Tiwari, A., & Garg, R. A Optimized Taxonomy on Spot Sale Services Using Mathematical Methodology. International Journal of Security and Privacy in Pervasive Computing (IJSPPC), 14(1), 1-21 (2022).
[12] B Sivakumar. Chaos theory in hydrology: important issues and interpretations. Journal of Hydrology, (2005).
[13] Tiwari, A., Sharma, V., & Mahrishi, M. Service adaptive broking mechanism using MROSP algorithm. In Advanced Computing, Networking and Informatics-Volume 2, pp. 383-391 (2014). Springer, Cham.
[14] Mittal, G., Kumar, S., & Kumar, S. Novel public-key cryptosystems based on NTRU and algebraic structure of group rings. Journal of Information and Optimization Sciences, 42(7) (2021).
[15] Tiwari, A., & Garg, R. Eagle Techniques In Cloud Computational Formulation. International Journal of Innovative Technology and Exploring Engineering. Issue (9s), pp. 422-429, (2019).
[16] Tiwari, A., & Garg, R. Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-22 (2022).
[17] Chouhan, A., Tiwari, A., Diwaker, C., & Sharma, A. Efficient Opportunities and Boundaries towards Internet of Things (IoT) Cost Adaptive Model. In 2022 IEEE Delhi Section Conference (DELCON) (pp. 1-5). IEEE (2022, February).
[18] Tiwari, A., & Garg, R. Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems. International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-18 (2022).
[19] Tiwari, A., & Garg, R. ACCOS: A Hybrid Anomaly-Aware Cloud Computing Formulation-Based Ontology Services in Clouds. In ISIC, pp. 341-346, (2021).
[20] Kamble, S., Saini, D. K. J., Kumar, V., Gautam, A. K., Verma, S., Tiwari, A., & Goyal, D. Detection and tracking of moving cloud services from video using saliency map model. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1083-1092 (2022).
[21] Tiwari, A., & Sharma, R. M. A Skywatch on the Challenging Gradual Progression of Scheduling in Cloud Computing. In Applications of Computing, Automation and Wireless Systems in Electrical Engineering, pp. 531-541 (2019). Springer, Singapore.
[22] Kumar, S., Srivastava, P. K., Srivastava, G. K., Singhal, P., Singh, D., & Goyal, D. Chaos based image encryption security in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1041-1051 (2022).
[23] Kumar, S., Srivastava, P. K., Srivastava, Singh, D., & Goyal, D. Chaos based image encryption security in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1041-1051 (2022).
[24] Kamble, S., Saini, D. K. J., Verma, S., Tiwari, A., & Goyal, D. Detection and tracking of moving cloud services from video using saliency map model. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1083-1092 (2022).
[25] Kumar, S., Dubey, K. K., Gautam, Kumar, V., & Mamodiya, U. Detection of recurring vulnerabilities in computing services. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1063-1071 (2022).
[26] Kumar, S., Ranjan, N., Tiwari & Rafsanjani, M. K. Digital watermarking-based cryptosystem for cloud resource provisioning. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-20 (2022).

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