Abstract
Present Cloud computing is the most adaptable and popular technology. Through the services, customer gets efficiency, competence and quickness etc. in their work. Large data centers are available in the cloud to process the large volume of data. Cloud Computing (CC) is used by businesses to manage their large information load. It is becoming increasingly popular for organizations to store their data in the cloud, which provides reliable access from anywhere. Because numerous customers use the same cloud, data security is the primary issue with cloud computing. Security in cloud computing is a subject of current research issues. Hence in order to solve these issues, a hybrid intelligent cryptography algorithm for distributed big data storage in cloud computing security is presented. The RSA (Rivest-Shamir-Adleman) asymmetric algorithm covers authentication, whereas the Blowfish symmetric algorithm manages data confidentiality. Both symmetric and asymmetric cryptographic techniques have been used in the creation and construction of this hybrid cryptosystem. The experimental evaluations demonstrate that approach successfully protects the system and requires a reasonable amount of time to implement. Both security and efficiency performance will be evaluated during in the experimental results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Vidhya, A., Kumar, P.M.: Fusion-based advanced encryption algorithm for enhancing the security of Big Data in Cloud. Concurr. Eng. 30(2), 171–180 (2022). https://doi.org/10.1177/1063293x221089086
El-Attar, N.E., El-Morshedy, D.S., Awad, W.A.: A new hybrid automated security framework to cloud storage system. Cryptography 5(4), 37 (2021). https://doi.org/10.3390/cryptography5040037
Jayashri, N., Kalaiselvi, K.: Cloud cryptography for cloud data analytics in IoT. In: Machine Learning Approach for Cloud Data Analytics in IoT, pp. 119–142 (2021). https://doi.org/10.1002/9781119785873.ch6
Prathapkumar, K., Raja, D.A.T.: Double signature based cryptography using DS-SHA256 in cloud computing. NVEO - Nat. Volatiles Essent. Oils 9535–9541 (2021). https://www.nveo.org/index.php/journal/article/view/2639
Pronika, Tyagi, S.S.: Secure data storage in cloud using encryption algorithm. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), pp. 136–141. IEEE (2021). https://doi.org/10.1109/ICICV50876.2021.9388388
Panyam, A.S., Jakkula, P.K., Neelakanta Rao, P.: Significant cloud computing service for secured heterogeneous data storing and its managing by cloud users. In: IEEE Xplore (2021). https://doi.org/10.1109/ICOEI51242.2021.9452970
Shuvo, A.M., Amin, M.S., Haque, P.: Storage efficient data security model for distributed cloud storage. In: 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), pp. 1–6. IEEE (2020). https://doi.org/10.1109/r10-htc49770.2020.9356962
Seth, B., Dalal, S., Jaglan, V., Le, D.N., Mohan, S., Srivastava, G.: Integrating encryption techniques for secure data storage in the cloud. Trans. Emerg. Telecommun. Technol. 33(4), e4108 (2022). https://doi.org/10.1002/ett.4108
Kanagavalli, R., Vagdevi, S.: Secured data storage in cloud using homomorphic encryption (2019). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3499579
AbdElminaam, D.S.: Improving the security of cloud computing by building new hybrid cryptography algorithms. Int. J. Electron. Inf. Eng. 8(1), 40–48 (2018). https://doi.org/10.6636/IJEIE.201803.8(1).05
Kodumru, N.L., Supriya, M.: Secure data storage in cloud using cryptographic algorithms. In: 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) (2018). https://doi.org/10.1109/iccubea.2018.8697550
Sukumaran, S.C., Misbahuddin, M.: DNA cryptography for secure data storage in cloud. Int. J. Netw. Secur. 20(3), 447–454 (2018). https://doi.org/10.6633/IJNS.201805.20(3).06
Swathi, R., Subha, T.: Enhancing data storage security in Cloud using Certificate less public auditing. In: IEEE Xplore (2017). https://doi.org/10.1109/ICCCT2.2017.7972299
Khan, S., Ukey, E.: Secure distributed big data storage using cloud computing. IOSR J. Comput. Eng. 19(4), 8–12 (2017). https://doi.org/10.9790/0661-1904050812
NagaRaju, P., Nagamalleswara Rao, N.: OB-MECC: an efficient confidentiality and security enhancement for cloud storage system. J. Cyber Secur. Mobil. (2021). https://doi.org/10.13052/jcsm2245-1439.944
Prasad, R., Rohokale, V.: Cyber security: the lifeline of information and communication technology. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31703-4
Prasad, M.: Advanced cloud computing techniques based on scientific computing applications. https://scholar.google.com/citations?user=Zlwl_SwAAAAJ&hl=en
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Satyanarayana Murty, P.T., Prasad, M., Raja Rao, P.B.V., Kiran Sree, P., Ramesh Babu, G., Phaneendra Varma, C. (2023). A Hybrid Intelligent Cryptography Algorithm for Distributed Big Data Storage in Cloud Computing Security. In: Morusupalli, R., Dandibhotla, T.S., Atluri, V.V., Windridge, D., Lingras, P., Komati, V.R. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2023. Lecture Notes in Computer Science(), vol 14078. Springer, Cham. https://doi.org/10.1007/978-3-031-36402-0_59
Download citation
DOI: https://doi.org/10.1007/978-3-031-36402-0_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36401-3
Online ISBN: 978-3-031-36402-0
eBook Packages: Computer ScienceComputer Science (R0)