A Survey for Comparative Analysis of various Cryptographic Algorithms used to Secure Data on Cloud

Thakkar, Binita; Thankachan, Blessy

doi:10.17577/ijertv9is080328

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…Key k 1 uses the least, i.e., 128 bits, and k 2 uses the most, i.e., 128 bits. The values of x 0 and c for each key are derived from the hash using Equation (6) to Equation (9). In these equations, x 0,k 1 and c k 1 denote the Least and Most 64 bits of k 1 , respectively.…”

Section: Encryption Stepsmentioning

confidence: 99%

“…Homomorphic encryption is a more complex method that allows computations to be performed on encrypted data without the need for decryption [7], which is primarily meant for noncryptographers. The process of encryption is commonly judged by how strong the proposed method is in terms of protection against different types of attacks [8,9]. It involves the use of an encryption mechanism using an encryption key, a communication channel for data transmission, a decryption system, and a key to decrypt the encrypted data.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Chaotic-Based PRNG for Secure Cryptography Applications

Alnajim

Abou-Bakr

Alruwisan³

et al. 2023

Applied Sciences

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This paper suggests a novel one-dimensional (1D) map to address the limitations of traditional chaotic 1D maps. In contrast to traditional 1D maps, the proposed map has three control parameters a, μ, and c, allowing it to exhibit chaotic behavior over a wide range of values. The dynamic behavior of the new 1D map was analyzed using well-known numerical methods, including the bifurcation diagram and Lyapunov exponent. Both tests showed their complex and diverse behavior. In addition, a novel image encryption scheme was devised using the new function as its pseudorandom number generator. Rigorous statistical testing was applied to the proposed encryption algorithm. The mean square error (MSE) and peak signal-to-noise ratio (PSNR) results, in addition to subjecting 28 images to number of pixels change rate (NPCR) and unified average changing intensity (UACI) tests demonstrated the robustness of the system. The results of this study demonstrate the effectiveness of the new 1D map for use in secure image cryptography applications, providing a more robust and secure alternative to traditional chaotic 1D maps.

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Section: Encryption Stepsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid Chaotic-Based PRNG for Secure Cryptography Applications

Alnajim

Abou-Bakr

Alruwisan³

et al. 2023

Applied Sciences

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show abstract

“…Homomorphic encryption is a more complex method that allows computations to be performed on encrypted data without the need for decryption [7] that is primarily meant for non-cryptographers. The process of encryption is a commonly judged by the way how strong the proposed method stands for protection against different types of attacks [8,9]. It involves the use of an encryption mechanism using an encrypt key, a communication channel for data transmission, a decryption system, and a key to decrypt the encrypted data.…”

Section: Of 16mentioning

confidence: 99%

Hybrid Chaotic Based PRNG for Secure Cryptography Applications

Alnajim¹,

Abou-Bakr²,

Alruwisan³

et al. 2023

Preprint

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This paper suggests a novel one-dimensional (1D) map to address the limitations of traditional chaotic 1D maps. The main challenge with traditional chaotic 1D maps is the limited control parameter range and the potential risk of collapsing as a result under the finite precision implementation. To overcome these limitations, the new 1D map hybridises the traditional logistic map with tent map, and a linear tent-like function. This hybridization results in a wider range of control parameters to produce chaotic behavior. The dynamic behavior of the new 1D map has been analyzed using well known numerical methods, including the bifurcation diagram and Lyapunov exponent. Both tests have shown their complex and diverse behavior. In addition, a novel image encryption scheme has been devised using the new function as its pseudo-random-number generator. The proposed encryption algorithm has been tested and found to be robust and secure, passing all statistical tests applied to the encrypted images. The results of this study demonstrate the effectiveness of the new 1D map for use in secure image cryptography applications, providing a more robust and secure alternative to traditional chaotic 1D maps. The proposed algorithm has demonstrated high performance in NPCR and UACI tests. It also has shown good results in the MSE and PSNR tests.

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“…Chaudhary et al 19 conducted an efficiency comparison of cryptographic algorithms such as DES, 3DES, AES, RSA, DH, and hybrid approaches such as dual RSA, AES‐RSA, and RSA‐AES‐DS. The study concluded that symmetric algorithms are more efficient than asymmetric algorithms, and hybrid techniques are less efficient but more safe.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As stated by the author 70 Based on numerous survey characteristics, the comparison of different cryptographic methods for cloud data security is shown in Table 2. Key size, block size, number of rounds, execution time, key utilized, and memory use are the criteria taken into account.…”

Section: Cryptographic Techniques In Cloud Computingmentioning

confidence: 99%

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

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SummaryCloud computing (CC) refers to the on‐demand availability of network resources, particularly data storage and processing power, without requiring special or direct administration by users. CC, which just made its debut as a collection of public and private data centers, provides clients with a unified platform throughout the Internet. Cloud computing has revolutionized the world, opening up new horizons with bright potential due to its performance, accessibility, low cost, and many other benefits. Due to the exponential rise of cloud computing, systems based on cloud computing now require an effective data security mechanism. Comprehensive security policies, corporate security culture, and cloud security solutions are used to ensure the level of cloud data security. Many techniques exist to protect data communication in the cloud environment, including encryption. Encryption algorithms play an important role in information security systems and various cloud computing‐based systems. Current researchers have focused on lightweight cryptography, genetics‐based cryptography, and machine learning (ML) algorithms for security in CC. This review study analyses CC security threats, problems, and solutions that use one or more algorithms. The work discusses several lightweight cryptographies, genetics‐based cryptography and different ML algorithms that are used to overcome cloud security issues, including supervised, unsupervised, semi‐supervised, and reinforcement learning. Moreover, we enlist future research directions to secure CC models.

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A Survey for Comparative Analysis of various Cryptographic Algorithms used to Secure Data on Cloud

Cited by 7 publications

References 7 publications

Hybrid Chaotic-Based PRNG for Secure Cryptography Applications

Hybrid Chaotic-Based PRNG for Secure Cryptography Applications

Hybrid Chaotic Based PRNG for Secure Cryptography Applications

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

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