OB-MECC: An Efficient Confidentiality and Security Enhancement for Cloud Storage System


  • P. NagaRaju Research Scholar, ANU College of Engineering and Technology, Gunture, A.P., India and Assistant Professor, Department of CSE, GMRIT, Rajam, Srikakulam, AP, India https://orcid.org/0000-0001-8318-8325
  • N. Nagamalleswara Rao Professor, Dept. of IT, RVR & JC College of Engineering, Guntur, AP, India




Data confidentiality, data Security, obfuscation (OB), data encryption, data decryption, elliptical curve cryptography (ECC), modified ECC (MECC)


Cloud computing (CC) is one amongst the developing technologies, which get more attention from academia as well as industries. It offers diverse benefits like sharing computing resources, service flexibility, reducing costs, etc. The Cloud Services Provider (CSP) is accountable for the data that are delivered to the cloud. The threat of seeing the stored data and using sensitive raw data by strangers is the main barrier in the utilization of cloud services. So, Data Security (DS) along with privacy is the chief issue, which is an obstacle while adopting the CC. Countless techniques are existent for ensuring data confidentiality, but they do not completely give protection to the data. To trounce these drawbacks, this paper introduces the Obfuscation (OB) based Modified Elliptical Curve Cryptography (MECC) algorithm for protecting data as of malicious attacks, which is termed as OB-MECC. Primarily, the proposed method obfuscates the data before they are uploaded to the cloud. For the OB of the data, the proposed work employs methods like substitution cipher (SC), position update, Ceaser cipher, binary conversion, 8-bit binary conversion, decimal(),  two complex(), and ASCII(). Then, encryption of the obfuscated data is done with the utilization of the MECC algorithm. After encryption, the data on the cloud is retrieved. The retrieved data is then decrypted by reversing the OB and encryption process to get the actual data. The outcomes corroborate that the confidentiality and security level are maximum for the proposed OB-MECC when contrasted to the existing approaches.


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Author Biographies

P. NagaRaju, Research Scholar, ANU College of Engineering and Technology, Gunture, A.P., India and Assistant Professor, Department of CSE, GMRIT, Rajam, Srikakulam, AP, India

P. Nagaraju received his Bachelor of Technology from JNT University in 2007 and Master of Technology from Andhra University in year 2009. He is currently pursuing Ph.D. and currently working as Assistant Professor in Department of Computational Science, GMR Institute of Technology, Rajam since 2012. He has published more than 5 research papers in reputed international journals. His main research work focuses on Cryptography Algorithms, Network Security, Cloud Security and Privacy, Big Data Analytics, IoT and Computational Intelligence based education. He has 11 years of teaching experience and 5 years of Research Experience.

N. Nagamalleswara Rao, Professor, Dept. of IT, RVR & JC College of Engineering, Guntur, AP, India

N. Nagamalleswara Rao received his B.Tech degree in Computer Science and Engineering in 1991 and M.E. degree in CSE in 1993. He is in the teaching field since January 1993. He is currently working as Professor in Department of Information Technology, RVR&JC College of engineering, Guntur since 2012. He completed his Doctorate degree in 2000. His area of specialization is Computer Algorithms, Compilers, Image Processing. He has more than 30 International publications in Journals and fifteen papers in International Conferences to his credit. He is a Senior Member of IEEE. He has 25 years of teaching experience and 20 years of Research Experience.


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