Hybrid cryptographic approach to enhance the mode of key management system in cloud environment

Ahmad, Shahnawaz; Mehfuz, Shabana; Beg, Javed

doi:10.1007/s11227-022-04964-9

Cited by 30 publications

(12 citation statements)

References 67 publications

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“…Shahnawaz Ahmad 1 , Shabana Mehfuz 2 , Javed Beg 3 proposed a "Hybrid cryptographic approach to enhance the mode of key management system in cloud environment" in the year 2022 [1]. The authors proposed a hybrid cryptographic approach to improve key management in cloud environments.…”

Section: Literature Reviewmentioning

confidence: 99%

“…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%

“…Encryption and decryption are essential processes with the purpose of preserving data privacy and security. The process of converting plain text information onto cipher text which appears random and meaningless is known as encryption [1]. Decryption is the process of converting encrypted data from cipher text to plaintext, which is able to read and recognize.…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2024

IJIES

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“…Ahmad et al [40] proposed a novel hybrid cryptographic methodology to enhance the Key Administration System (KAS) in cloud environments. The method combines authenticated digital encryption using ECC (Elliptic Curve Cryptography) with AES (Advanced Encryption Standard).…”

Section: Related Workmentioning

confidence: 99%

“…similarly, Sarker et al [37], Wu et al [35], Irshad et al [39], Uppuluri et al [41], Sharma et al [43], Jalasri et al [45]research methods also gained moderate and very less level of reliability performance. The Unal et al [38], Ahmad et al [40], Selvarajan et al [44] research methods have attained high-reliability performance. However, the other significant metrics failed to improve in secured transmissions like high response and execution time with less prediction rate.…”

Section: ) Reliabilitymentioning

confidence: 99%

IoT-Enabled Secure and Scalable Cloud Architecture for Multi-User Systems: A Hybrid Post-Quantum Cryptographic and Blockchain-Based Approach Toward a Trustworthy Cloud Computing

Irshad,

Hussain,

Hussain

et al. 2023

IEEE Access

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Cloud computing has revolutionized organizational operations by providing convenient, on-demand access to resources. The emergence of the Internet of Things (IoT) has introduced a new paradigm for collaborative computing, leveraging sensors and devices that generate and process vast amounts of data, thereby resulting in challenges related to scalability and security, making the significance of conventional security methods even more pronounced. Consequently, in this paper, we propose a novel Scalable and Secure Cloud Architecture (SSCA) that integrates IoT and cryptographic techniques, aiming to develop scalable and trustworthy cloud systems, thus enabling multi-user systems and facilitating simultaneous access to cloud resources by multiple users. The design adopts a decentralized approach, utilizing multiple cloud nodes to handle user requests efficiently and incorporates Multicast and Broadcast Rekeying Algorithm (MBRA) to ensure the privacy and confidentiality of user information, utilizing a hybrid cryptosystem that combines MBRA, Post Quantum Cryptography (PQC) and blockchain technology. Leveraging IoT devices, the architecture gathers data from distributed sensing resources and ensures the security of collected information through robust MBRA-PQC encryption algorithms, while the blockchain ensures that the confidential data is stored in distributed and immutable records. The proposed approach is applied to several datasets and the effectiveness is validated through various performance metrics, including response time, throughput, scalability, security, and reliability. The results highlight the effectiveness of the proposed SSCA, showcasing a notable reduction in response time by 1.67 seconds and 0.97 seconds for 250 and 1000 devices, respectively, in comparison to the MHE-IS-CPMT. Likewise, SSCA demonstrated significant improvements in the AUC values, exhibiting enhancements of 6.30%, 6.90%, 7.60%, and 7.30% at the 25-user level, and impressive gains of 5.20%, 9.30%, 11.50%, and 15.40% at the 50-user level when compared to the MHE-IS-CPMT, EAM, SCSS, and SHCEF models, respectively.

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Enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing

Garg,

Kaur,

Jangra

2024

Concurrency and Computation

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SummarySmartphone devices have occupied an indispensable place in human life. These devices have some restrictions, like short lifetime of battery, imperfect computation power, less memory size and unpredictable network connectivity. Hence, a number of methods previously presented to decrease these restrictions as well as increase the battery lifespan with the help of offloading strategy. This manuscript proposes a new enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing (RPO‐CFE‐SMC) to offload intensive computation tasks from mobile device to the cloud. The proposed model utilizes a red panda optimization algorithm (RPOA) to scale dynamically the offloading decision under energy consumption, CPU utilization, execution time, memory usage parameters. Before the work is transferred to the cloud, an innovative security layer is applied for encrypting the data using AES chaotic fuzzy encryption (CFE) technology. The proposed RPO‐CFE‐SMC method provides 20.63%, 25.25%, 25.28%, and 32.47% lower encryption time and 23.66%, 24.25%, and 26.47% lower energy consumption compared with existing EFFORT‐SMC, EESH‐SMC, and CP‐ABE‐SMC models respectively. In conclusion, the simulation results prove that the improved efficiency of proposed model in offloading computation to the cloud with enhanced data protection using chaotic fuzzy encryption.

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Hybrid cryptographic approach to enhance the mode of key management system in cloud environment

Cited by 30 publications

References 67 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

IoT-Enabled Secure and Scalable Cloud Architecture for Multi-User Systems: A Hybrid Post-Quantum Cryptographic and Blockchain-Based Approach Toward a Trustworthy Cloud Computing

Enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing

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