Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment

Salvakkam, Dilli Babu; Pamula, Rajendra

doi:10.1007/s10844-022-00715-7

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…The research paper titled "Design of Fully Homomorphic Multikey Encryption Scheme for Secured Cloud Access and Storage Environment" by Dilli Babu Salvakkam 1 and Rajendra Pamula 2 was published in the year 2022 [6]. The technique that can be used to develop a system for exchanging data that is affordable since it offers backward and forward security.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Security in Cloud Environment by Using Hybrid Encryption Technique: A Comprehensive Study on Enhancing Confidentiality and Reliability

2024

IJIES

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Hybrid encryption techniques are gaining popularity in the cloud platform due to their ability to address security concerns and data storage challenges. In order to ensure confidentiality at every stage of processing, this article presents an innovative strategy that merges fully homomorphic encryption (FHE) and secure hash algorithm 3 (SHA-3), offering robust protection against cyber threats. FHE and SHA-3 offer a solution to this problem. We conducted experiments using different datasets to test the performance and security strength of this hybrid approach. Our method takes into account factors such as computational overheads, complexity requirements, key management challenges, and limited support from vendors/providers offering specialized hardware/software capable of supporting complex mathematical functions required by each technique separately before combined into a hybrid form suitable enough scaled-out horizontally across different nodes within clouds themselves today globally among end-users relying upon them heavily day-to-day tasks involving mission-critical workloads running inside virtualized machines hosted on public/private clouds ecosystems worldwide. The results show that implementing FHE together with SHA-3 can significantly improve an organization's overall cyber security posture when operating critical infrastructure components residing within cloud environments. According to the results, it performs better than other methods that are currently in used complexity of encryption and decoding, including homomorphic encryption and RSA, AES & DSA, and AES & RSA. The hybrid algorithm we are proposed using fully homomorphic & SHA3 with 2048 bits 0.789 seconds of encryption time and decryption time with 0.001 seconds and execution time with 4.25 seconds. Therefore, we conclude that our proposed hybrid encryption technique is the best approach to address cyber security risks associated with storing sensitive data in cloud computing environments.

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Section: Literature Reviewmentioning

confidence: 99%

Data Security in Cloud Environment by Using Hybrid Encryption Technique: A Comprehensive Study on Enhancing Confidentiality and Reliability

2024

IJIES

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“…Salvakkam et al (Salvakkam & Pamula, 2022) identify data privacy and security as a major barrier to cloud storage adoption. They propose a new method for secure cloud storage that uses a combination of passwords, biometrics, and Fully Homomorphic Multi-key Encryption (FHE) to address this concern.…”

Section: Papers In Special Sectionmentioning

confidence: 99%

Scalable computing for large-scale multimedia data analytics

Karuppiah,

Chaudhry,

Alsharif

2024

J Intell Inf Syst

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“…Cloud computing alters the idea of sharing, processing, and saving data from conventional IT into integrated services provided by cloud providers [3]. The ondemand routing method is easy for sharing routes broadcast or non-broadcast information, and it allows users for utilizing the required services of cloud computing without any contact among the consumers and service providers [4]. Customers who are using the cloud services don't require to know about the exact location of their data in the cloud or be conscious of which machine in the network is developing its computational tasks [5].…”

Section: Introductionmentioning

confidence: 99%

Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

2023

IJIES

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Cloud storage has gained extensive attention due to its low cost, global scalability, and improved agility. Data privacy is an important issue in cloud storage because breaches of personal information or business secrets are occurred by malicious hackers or unauthorized cloud operators. To address this issue, a Modified Key Sifting Scheme (MKSS) is proposed for developing an effective Quantum Key Distribution (QKD) with Two-Way Identity Authentication (TWIA) to provide security in the cloud storage. The Tree Parity Machine (TPM) is used for proposing a MKSS which used to minimize the key distribution time based on the synchronization. This MKSS-QKDTWIA considers four different objects such as data user, data owner, server and data storage in a communication scenario. The performance of the MKSS-QKDTWIA is analyzed by means of key computation time, processing time, encryption & decryption time, and memory utilization. Existing research such as Modified Random Fibonacci Cryptographic (MRFC), Software Stack-QKD (SS-QKD) and Enhanced Cloud Security Model based on QKD Protocol (ECSM-QKDP) are used to evaluate the performance of MKSS-QKDTWIA. The key computation time of MKSS-QKDTWIA for 50 attribute sets in each key is 16.7s which is less when compared to the MRFC, SS-QKD and ECSM-QKDP.

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Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment

Cited by 8 publications

References 9 publications

Data Security in Cloud Environment by Using Hybrid Encryption Technique: A Comprehensive Study on Enhancing Confidentiality and Reliability

Data Security in Cloud Environment by Using Hybrid Encryption Technique: A Comprehensive Study on Enhancing Confidentiality and Reliability

Scalable computing for large-scale multimedia data analytics

Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

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