Three stage hybrid encryption of cloud data with penta-layer security for online business users

Subashanthini, S.; Pounambal, M.

doi:10.1007/s10257-019-00419-6

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Subashanthini and Pounambal [32] proposed a method for resolving the security issue in electronic commerce in the business world and presented a unified system for storing image data in the cloud. Integer wavelet transform (IWT), chaotic maps, and the deoxyribose nucleic acid (DNA) encoding rule were combined in a three-organize picture encoding process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Research author Framework Techniques utilized Gai et al [20] Cloud (generally) D2ES Potey et al [21] Amazon Web Homomorphic Vijayakumar et al [22] Healthcare area Diffie-Hellman, AES Mathur et al [58] Cloud (generally) SHA-1, AES Lee et al [25] Heroku AES Biswas et al [26] Online examination system Not used More et al [27] Banking systems ABE and BRE algorithm Attar and Shahin [28] Cloud (generally) AES Abdulhamid [29] Microsoft Azure Blowfish Kumar et al [30] IT organizations Binary tree Sajay [31] Organizations Homographic, Blowfish Subashanthini and Pounambal [32] Electronic commerce IWT, chaotic maps, and DNA Xu et al [33] Electronic healthcare systems Modified Paillier cryptosystem, truth discovery technology, and the Dirichlet distribution Naidu et al [34] Bluemix SHA 512 Philip and Shah [35] Microsoft Azure Biometrics for authentication Malviya and Dave [36] Open cloud Homomorphic, AES Dong et al [37] SecureMR Homomorphic Wu et al [38] mIoT Public key encipherment with keyword search Namasudra [39] IOT ABE, distributed hash network, and identity-based timed-release encryption Sarode and Bhalla [40] MCC AES, RSA, and QR code Wang et al [41] EHR Public key encipherment with conjunctive keyword search Hiemenz and Krämer [42] Geospatial AES Chauhan et al [43] SRM University Teacher's fingerprint, AES Qiu et al [45] EHR Selective encipherment algorithm combined with fragmentation and dispersion Goyal and Kant [46] IT industry AES, SHA-1, and ECC Kumar and Roberts [47] CC Digital signatures Kumar and Shafi [48] CC modified RSA Teng et al [49] Hadoop improved AES Abroshan [50] CC Elliptic curve technique and enhanced Blowfish Awan et al [51] CC Enhanced AES (128) Kumar et al [52] ARPS and CloudSim SMO algorithm Mata et al [53]...…”

Section: Table 1 Framework and Techniques Utilizedmentioning

confidence: 99%

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Cloud data security and various cryptographic algorithms

Alemami

Al-Ghonmein

Al-Moghrabi

et al. 2023

IJECE

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<p>Cloud computing has spread widely among different organizations due to its advantages, such as cost reduction, resource pooling, broad network access, and ease of administration. It increases the abilities of physical resources by optimizing shared use. Clients’ valuable items (data and applications) are moved outside of regulatory supervision in a shared environment where many clients are grouped together. However, this process poses security concerns, such as sensitive information theft and personally identifiable data leakage. Many researchers have contributed to reducing the problem of data security in cloud computing by developing a variety of technologies to secure cloud data, including encryption. In this study, a set of encryption algorithms (advance encryption standard (AES), data encryption standard (DES), Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and international data encryption algorithm (IDEA) was compared in terms of security, data encipherment capacity, memory usage, and encipherment time to determine the optimal algorithm for securing cloud information from hackers. Results show that RSA and IDEA are less secure than AES, Blowfish, and DES). The AES algorithm encrypts a huge amount of data, takes the least encipherment time, and is faster than other algorithms, and the Blowfish algorithm requires the least amount of memory space.</p>

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Section: Literature Reviewmentioning

confidence: 99%

Section: Table 1 Framework and Techniques Utilizedmentioning

confidence: 99%

Cloud data security and various cryptographic algorithms

Alemami

Al-Ghonmein

Al-Moghrabi

et al. 2023

IJECE

View full text Add to dashboard Cite

show abstract

“…There are some that look into DNA-based cryptographic methods. Subashanthini and coauthors [1] projected a tri-stage picture encoding system, which consolidates Integer Wavelet Transform (IWT), turbulent maps, and DNA encoding regulation. This strategy gives an additional degree of safety to pictures moved through different internet business application on distributed stowage.…”

mentioning

confidence: 99%

Bit Incorporated Codon Positional Encoder (BICPE) Algorithm for Privacy Preservation in Vertically Partitioned Data in Cloud

Manithurai

Nagaraju

2022

Braz. arch. biol. technol.

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Current days an enormous amount of data is put away and recovered from the cloud because of its benefits like stowage size, assets pooling, and multi-occupancy. Because every administration is accessible through cyberspace, there is a lot of ambiguity about security and protection at various levels. This work proposed a privacy-preserving technique by applying Deoxyribonucleic Acid (DNA) coding-based novel Bit Incorporated Codon Positional Encoder (BICPE) algorithm for vertically divided cloud information. The transactional items are scrambled with a replacement of the DNA codon. Fictitious exchanges are appended unilaterally into the private database before encryption by the data owner to alleviate frequency analysis attacks of the items. The proposed BICPE algorithm encrypts the transactional data into A, C, G, T codons to upgrade the safety of the transactional items by replacement, operation, and intricacy. The concepts of binary coding and random values are utilized in DNA sequencing to encode the data. In this method, both the sender and the receiver will share a common DNA sequence for encryption and decryption process. The performance of the proposed technique is compared with the traditional Homomorphic Encryption (HE) in terms of support threshold values (Ts) for different items in a transaction. The exploratory outcomes demonstrate that the BICPE algorithm outperforms HE as far as ciphertext size, execution time, and privacy. Hence, the newly proposed technique is more efficient and offers better performance in terms of privacy. HIGHLIGHTS• Fake transactions are inserted into database to hide item frequency.• The input binary bits are grouped into N sets with length as four for encryption.• Each item in a data set is encoded with A,C,G,T DNA codons.• Encrypted Association rules are built for frequent items in a transaction.

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Tri-level scrambling and enhanced diffusion for DICOM image cipher- DNA and chaotic fused approach

Banu

Amirtharajan

2020

Multimed Tools Appl

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Three stage hybrid encryption of cloud data with penta-layer security for online business users

Cited by 5 publications

References 26 publications

Cloud data security and various cryptographic algorithms

Cloud data security and various cryptographic algorithms

Bit Incorporated Codon Positional Encoder (BICPE) Algorithm for Privacy Preservation in Vertically Partitioned Data in Cloud

Tri-level scrambling and enhanced diffusion for DICOM image cipher- DNA and chaotic fused approach

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