Data Obfuscation Technique in Cloud Security

Enireddy, Vamsidhar; Somasundaram, K.; Prabhu, M. Ramkumar; Babu, D. Vijendra; Karthikeyan, C.

doi:10.1109/icosec51865.2021.9591915

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…According to the results, it is evident that the suggested MONcrypt offers the most advanced degree of security in the least period of time for reconsidered data. [10] Sindhu Rajendran (2020) The transition of the medical industry into the digital realm has sparked concerns over the security of medical data. The medical data, such as patient information and medical history, is recorded in a digital picture format.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Data Security in Public Cloud Storage with the Implementation of Data Obfuscation and Steganography Techniques

Sarika Hemant Gadekar,

2023

IJRITCC

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Cloud computing is a widely used distribution paradigm for delivering secure information services over the internet. The advantages of cloud computing include the capacity to remotely access one's data from any location, eliminating concerns over data backups, as well as the establishment of disaster recovery and business continuity facilities. Nevertheless, cloud computing gives rise to apprehensions over the appropriate management of information and interactions by cloud service providers, user organisations, and governments. Cloud computing has become an increasingly popular choice for both big organisations and individuals seeking cost-effective access to a wide range of network services. Typically, individuals' information is kept on a public Cloud, which is accessible to everybody. This basic gives rise to several concerns that are contrary to the adaptable services offered by cloud providers, such as Confidentiality, Integrity, Availability, Authorization, and others. Currently, there are several choices available for safeguarding data, with encryption being the most favoured one. Encryption alone is insufficient for adequately safeguarding the sensitive information of many users. Additionally, the encryption and decryption procedure for each every query requires a greater amount of time. Furthermore, it is not advisable to just prioritise user-centric thinking, since users relinquish direct control over their data once it is uploaded to Cloud premises. Given this reality, it is important to contemplate the security of users' vital information on the Cloud server. This may be achieved by the use of the crucial method known as obfuscation. In order to alleviate the load on the Cloud server and provide sufficient security for user data, we suggest an approach that combines both strategies, namely... The thesis explores the concepts of obfuscation and encryption. If the files or documents need security, the user data may be encrypted. The Cloud's DaaS service is protected utilising obfuscation methods. By using a dual-pronged strategy, the suggested technique provides enough protection for anonymous access and ensures the preservation of privacy, even while dealing with information stored on Cloud servers. The objective is to provide a robust integrity checking method, an enhanced access control mechanism, and a group sharing mechanism. These improvements seek to reduce the workload and foster a higher degree of confidence between clients and service providers.

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Section: Literature Reviewmentioning

confidence: 99%

Improving Data Security in Public Cloud Storage with the Implementation of Data Obfuscation and Steganography Techniques

Sarika Hemant Gadekar,

2023

IJRITCC

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“…The input sample data and n count of sensors. The prediction is based on the network traffic as either normal or abnormal data using distributed majority voting [ 19 ]. Consider an odd sensor count for distributed majority voting when the primary or highest vote determines the network traffic pattern.…”

Section: Proposed Smart City Data Acquisitionmentioning

confidence: 99%

“…At first, data is masked using a supplementation method. Then an asymmetric key is used to encrypt data using a private key [ 19 ]. This makes data more secure [ 38 , 39 ].…”

Section: Proposed Smart City Data Acquisitionmentioning

confidence: 99%

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Thirumalaisamy

Basheer

Shitharth

et al. 2022

Sensors

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There can be many inherent issues in the process of managing cloud infrastructure and the platform of the cloud. The platform of the cloud manages cloud software and legality issues in making contracts. The platform also handles the process of managing cloud software services and legal contract-based segmentation. In this paper, we tackle these issues directly with some feasible solutions. For these constraints, the Averaged One-Dependence Estimators (AODE) classifier and the SELECT Applicable Only to Parallel Server (SELECT-APSL ASA) method are proposed to separate the data related to the place. ASA is made up of the AODE and SELECT Applicable Only to Parallel Server. The AODE classifier is used to separate the data from smart city data based on the hybrid data obfuscation technique. The data from the hybrid data obfuscation technique manages 50% of the raw data, and 50% of hospital data is masked using the proposed transmission. The analysis of energy consumption before the cryptosystem shows the total packet delivered by about 71.66% compared with existing algorithms. The analysis of energy consumption after cryptosystem assumption shows 47.34% consumption, compared to existing state-of-the-art algorithms. The average energy consumption before data obfuscation decreased by 2.47%, and the average energy consumption after data obfuscation was reduced by 9.90%. The analysis of the makespan time before data obfuscation decreased by 33.71%. Compared to existing state-of-the-art algorithms, the study of makespan time after data obfuscation decreased by 1.3%. These impressive results show the strength of our methodology.

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Augmented security for healthcare data using obfuscation and elliptic curve cryptography algorithm in health cloud environment

Hema¹,

Ramesh

2022

Concurrency and Computation

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Summary In the past few years, the growing demands of cloud computing became high in the healthcare sector. The electronic health record (EHR) has turned out to be the chosen system to uphold patient's healthcare data. Due to the advancement of cloud computing, the users in the cloud are empowered to access their data with elasticity and offering huge storage capability at minimum costs. This motivates EHR maintainers to transfer their personal storage to the remote cloud servers as it significantly reduces the burden of storage and computation. Nevertheless, securing healthcare data file poses a gigantic challenge as data outsourced in the cloud are too sensitive. Several security features such as data confidentiality, data privacy, access control, data integrity, and data security necessities to be satisfied. This article proposed a secure sharing of healthcare data file by incorporating obfuscation technique and elliptic curve cryptography (ECC) algorithm to enforce better data confidentiality and integrity. Data obfuscation is a beneficial technique in preserving the data confidentiality on the cloud by minimizing the risk of data theft and data leakage. Moreover, ECC methodology aims to provide a high level of security, low communication and computation cost with smaller key size. Experimental analysis reveals better performance than other existing schemes in terms of computation time, communication time, key generation time, throughput rate, turnaround time, and uploading speed. Besides, it exposes that the proposed framework is highly secure and efficient in the field of healthcare system.

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Data Obfuscation Technique in Cloud Security

Cited by 8 publications

References 10 publications

Improving Data Security in Public Cloud Storage with the Implementation of Data Obfuscation and Steganography Techniques

Improving Data Security in Public Cloud Storage with the Implementation of Data Obfuscation and Steganography Techniques

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Augmented security for healthcare data using obfuscation and elliptic curve cryptography algorithm in health cloud environment

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