Data Storage Security in Cloud Computing Using Aes Algorithm and Md5 Algorithm
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Abstract
The most intriguing computing paradigm shift in information technology today is cloud computing. However, security and privacy are seen as major roadblocks to widespread adoption. The authors present a list of important security concerns and encourage more research into security solutions for a secure public cloud environment. Cloud computing is a new term for a long- awaited technology. Computing as a utility is a vision. The cloud gives on-demand network access to a centralised pool of programmable computing resources that may be deployed quickly and effectively as well as little management overhead
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Kadam, A. K., Varma, V., Patil, S., Patil, M., & Patil, M. (2022). Data Storage Security in Cloud Computing Using Aes Algorithm and Md5 Algorithm. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 14(Spl-2 issu), 296-300. https://doi.org/10.18090/samriddhi.v14spli02.17
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Research Article
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
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DATA STORAGE SECURITY IN CLOUD COMPUTING
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[12] Tidke, P. M. P. a. P. B., 2014. “Improving Data Integrity for Data Storage Security in Cloud Computing”. International Journal of Computer Science and Information Technologies (IJCSIT), 5(5), pp. 6680-6684 [13] Singh, R., Kumar, S. & Agrahari, S. K., 2013. “Ensuring Data Storage Security in Cloud Computing”. International Journal Of Engineering And Computer Science ISSN:2319- 7242 , 2(3), pp. 825- 826 [14] Parasaram, V. K. B., & Nalluri, S. K. (2016). A Comparative Analysis of Risk Management Frameworks in Enterprise IT Projects. SAMRIDDHI
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https://doi.org/10.18090/samriddhi.v8i2.
[15] Kokane, M., Jain, P. & Sarangdhar, P., 2013.”Data Storage Security in Cloud Computing”. International Journal of Advanced Research in Computer and Communication Engineering , 2(3), pp. 1388- 1389.
[16] Gadichha, N. M. Y. a. V. B., 2013. “Third Party Auditing (TPA) for Data Storage Security in Cloud with RC5 Algorithm.” International Journal of Advanced Research in Computer Science and Software Engineering , Volume 3(11), pp. 1032-1037
[17] Wang, G., Q. Liu, J. W. & Guo, M., 2011. “Hierarchical Attribute Based Encryption and Scalable User Revocation for Sharing Data in Cloud Servers. Computers and Security”, 30(5), pp. 320-331.
for the public cloud,” IEEE Internet Computing, no. 1, pp. 69–73, 2012.
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[3] S. Hu, Q. Wang, J. Wang, Z. Qin, and K. Ren, “Securing SIFT: Privacy-preserving outsourcing computation of feature extractions over encrypted image data,” IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3411–3425, 2016.
[4] H.-M. Sun, Y.-H. Chen, and Y.-H. Lin, “oPass: A user authentication protocol resistant to password stealing and password reuse attacks,” IEEE Transactions on Information Forensics and Security, vol. 7, no. 2, pp. 651–663, 2012.
[5] Nalluri, S. K., & Parasaram, V. K. B. (2016). Early Approaches to Robotic Process Automation in Enterprise Systems. International Journal of Humanities and Information Technology, 1(01), 12-28. https://doi.org/10.21590/ijhit.01.01.06 [6] L. Harn and J. Ren, “Generalized digital certificate for user authentication and key establishment for secure communications,” IEEE Transactions on Wireless Communications, vol. 10, no. 7, pp. 2372– 2379, 2011.
[7] Nalluri, S. K., Parasaram, V. K. B., & Bathini, V. T. (2021). Autonomous Manufacturing Operations Using Intelligent MES and Cloud-Native Analytics. Journal of Multidisciplinary Knowledge, 1(1), 45–55. Retrieved from https://jmk.datatablets.com/index.php/j/article/view/127 [8] P. Zeng, K.-K. R. Choo, “A new kind of conditional proxy re-encryption for secure cloud storage”, IEEE Access, vol. 6, pp. 70017-70024, 2018.
[9] Mohamed Ismail, Badamasi Yusuf “ ENSURING
DATA STORAGE SECURITY IN CLOUD COMPUTING
Journal of Information System and Engineering Vol. 4 (No.1), ISSN: 2289-7615
[10] Khalid, U., Ghafoor, A., Irum, M. & Shibl, M. A., 2013.” Cloud Based Secure and Privacy Enhanced Authentication and Authorization Protoco. Procedia”, Volume 22, pp. 680-688.
[11] Nalluri, S. K., Parasaram, V. K. B., & Bathini, V. T. (2021). Autonomous Manufacturing Operations Using Intelligent MES and Cloud-Native Analytics. Journal of Multidisciplinary Knowledge, 1(1), 45– 55. Retrieved from https://jmk.datatablets.com/index.php/j/article/vi ew/127
[12] Tidke, P. M. P. a. P. B., 2014. “Improving Data Integrity for Data Storage Security in Cloud Computing”. International Journal of Computer Science and Information Technologies (IJCSIT), 5(5), pp. 6680-6684 [13] Singh, R., Kumar, S. & Agrahari, S. K., 2013. “Ensuring Data Storage Security in Cloud Computing”. International Journal Of Engineering And Computer Science ISSN:2319- 7242 , 2(3), pp. 825- 826 [14] Parasaram, V. K. B., & Nalluri, S. K. (2016). A Comparative Analysis of Risk Management Frameworks in Enterprise IT Projects. SAMRIDDHI
: A Journal of Physical Sciences, Engineering and Technology, 8(02), 147-155.
https://doi.org/10.18090/samriddhi.v8i2.
[15] Kokane, M., Jain, P. & Sarangdhar, P., 2013.”Data Storage Security in Cloud Computing”. International Journal of Advanced Research in Computer and Communication Engineering , 2(3), pp. 1388- 1389.
[16] Gadichha, N. M. Y. a. V. B., 2013. “Third Party Auditing (TPA) for Data Storage Security in Cloud with RC5 Algorithm.” International Journal of Advanced Research in Computer Science and Software Engineering , Volume 3(11), pp. 1032-1037
[17] Wang, G., Q. Liu, J. W. & Guo, M., 2011. “Hierarchical Attribute Based Encryption and Scalable User Revocation for Sharing Data in Cloud Servers. Computers and Security”, 30(5), pp. 320-331.