Data Security in Cloud Computing Using a Hybrid Algorithm Approach

Kolawole Damilare Abel; Sanjay Misra; Oluranti Jonathan; Akshat Agrawal; Rytis Maskeliunas; Robertas Damasevicius

doi:10.1007/978-981-16-8484-5_45

Data Security in Cloud Computing Using a Hybrid Algorithm Approach

Kolawole Damilare Abel
, Sanjay Misra
, Oluranti Jonathan
, Akshat Agrawal
, Rytis Maskeliunas
, Robertas Damasevicius

Department of Artificial Intelligence Modelling (RMS/RMS2)

Covenant University
Østfold University College
Amity University, Gurugram
Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Cloud computing is a technology that provides users with computing resources and storage. It removes the need for businesses and institutes to maintain expensive computing facilities and improves organizations by its services. This paper aims to use cryptography techniques to enhance data security in the cloud by implementing the provided algorithms. The work in this paper is majors on implementing a hybrid algorithm (symmetric and asymmetric algorithms). We proposed a hybrid cryptosystem that comprises symmetric and asymmetric algorithms using 3DES, RSA, and SHA-3 algorithms to enable tight security in the cloud. 3DES is for encryption RSA for authentication and SHA-3 for integrity.

Original language	English
Title of host publication	Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021
Editors	Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	467-474
Number of pages	8
ISBN (Print)	9789811684838
DOIs	https://doi.org/10.1007/978-981-16-8484-5_45
Publication status	Published - 2022
Event	International Conference on Computational Intelligence in Machine Learning, ICCIML 2021 - Virtual, Online Duration: 1 Jun 2021 → 2 Jun 2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	834
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Computational Intelligence in Machine Learning, ICCIML 2021
City	Virtual, Online
Period	1/06/21 → 2/06/21

Keywords

3DES
Algorithms
Cloud computing
Computer security
Cryptography
Data
Decryption
Encryption
Hybrid
RSA
SHA-3
Security

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-16-8484-5_45

Cite this

Abel, K. D., Misra, S., Jonathan, O., Agrawal, A., Maskeliunas, R., & Damasevicius, R. (2022). Data Security in Cloud Computing Using a Hybrid Algorithm Approach. In A. Kumar, J. M. Zurada, V. K. Gunjan, & R. Balasubramanian (Eds.), Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021 (pp. 467-474). (Lecture Notes in Electrical Engineering; Vol. 834). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-8484-5_45

Abel, Kolawole Damilare ; Misra, Sanjay ; Jonathan, Oluranti et al. / Data Security in Cloud Computing Using a Hybrid Algorithm Approach. Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021. editor / Amit Kumar ; Jacek M. Zurada ; Vinit Kumar Gunjan ; Raman Balasubramanian. Springer Science and Business Media Deutschland GmbH, 2022. pp. 467-474 (Lecture Notes in Electrical Engineering).

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abstract = "Cloud computing is a technology that provides users with computing resources and storage. It removes the need for businesses and institutes to maintain expensive computing facilities and improves organizations by its services. This paper aims to use cryptography techniques to enhance data security in the cloud by implementing the provided algorithms. The work in this paper is majors on implementing a hybrid algorithm (symmetric and asymmetric algorithms). We proposed a hybrid cryptosystem that comprises symmetric and asymmetric algorithms using 3DES, RSA, and SHA-3 algorithms to enable tight security in the cloud. 3DES is for encryption RSA for authentication and SHA-3 for integrity.",

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Abel, KD, Misra, S, Jonathan, O, Agrawal, A, Maskeliunas, R & Damasevicius, R 2022, Data Security in Cloud Computing Using a Hybrid Algorithm Approach. in A Kumar, JM Zurada, VK Gunjan & R Balasubramanian (eds), Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021. Lecture Notes in Electrical Engineering, vol. 834, Springer Science and Business Media Deutschland GmbH, pp. 467-474, International Conference on Computational Intelligence in Machine Learning, ICCIML 2021, Virtual, Online, 1/06/21. https://doi.org/10.1007/978-981-16-8484-5_45

Data Security in Cloud Computing Using a Hybrid Algorithm Approach. / Abel, Kolawole Damilare; Misra, Sanjay; Jonathan, Oluranti et al.
Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021. ed. / Amit Kumar; Jacek M. Zurada; Vinit Kumar Gunjan; Raman Balasubramanian. Springer Science and Business Media Deutschland GmbH, 2022. p. 467-474 (Lecture Notes in Electrical Engineering; Vol. 834).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Cloud computing is a technology that provides users with computing resources and storage. It removes the need for businesses and institutes to maintain expensive computing facilities and improves organizations by its services. This paper aims to use cryptography techniques to enhance data security in the cloud by implementing the provided algorithms. The work in this paper is majors on implementing a hybrid algorithm (symmetric and asymmetric algorithms). We proposed a hybrid cryptosystem that comprises symmetric and asymmetric algorithms using 3DES, RSA, and SHA-3 algorithms to enable tight security in the cloud. 3DES is for encryption RSA for authentication and SHA-3 for integrity.

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KW - RSA

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Abel KD, Misra S, Jonathan O, Agrawal A, Maskeliunas R, Damasevicius R. Data Security in Cloud Computing Using a Hybrid Algorithm Approach. In Kumar A, Zurada JM, Gunjan VK, Balasubramanian R, editors, Computational Intelligence in Machine Learning - Select Proceedings of ICCIML 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 467-474. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-16-8484-5_45

Data Security in Cloud Computing Using a Hybrid Algorithm Approach

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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