Lightweight Effective Encryption Algorithm for Securing Data in Cloud Computing

Al-Attab, Basel Saleh; Fadewar, H. S.; Hodeish, Mahmoud E.

doi:10.1007/978-981-13-1513-8_13

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…To overcome this difficulty, some network security concerns in the cloud environment are produced by critical features such as resource sharing, virtualization, flexibility, and other measurable services. Basel Saleh et al [117]. suggested an FIGURE 6: Classification of lightweight cryptography algorithms [116] approach for hyperdata encryption that combines symmetric ciphers, sharing a secret, and Diffie-Hellman key exchange techniques to improve security and overcome the concerns listed.…”

Section: E Lightweight Encryptionmentioning

confidence: 99%

Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing

Sasikumar,

Nagarajan

2024

IEEE Access

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Cloud computing is a fast-growing industry that offers various online services, including software, computing resources, and databases. Its payment model is usage-based, whereas consistency is based on resource-sharing. Cloud storage is popular among individuals and businesses because it reduces cost, increases productivity, boosts performance, and improves security. However, cloud computing comes with security risks as data are stored with third-party providers, and Internet access limits visibility and control. Effective data security and data protection are key issues compared with traditional on-premise computing. There are several methods for ensuring data security in the cloud, of which cryptography is the most important. Cryptography offers a range of security features including authentication, confidentiality, integrity, and availability. However, a thorough examination of the different cryptography methods in a single study is lacking. This study comprehensively examined different cryptography methods, including deoxyribose nucleic acid (DNA), elliptic curve, homomorphic, hybrid, lightweight, and novel methods. The analysis addresses their methodology, algorithms, results, applications, and limitations and provides valuable suggestions for data security in the cloud. This paper proposes the use of elliptic curve cryptography (ECC) to ensure safe communication and lightweight cryptography for Internet of Things (IoT) devices with limited resources. This emphasizes the benefit of combining asymmetric security with symmetric efficiency in hybrid cryptography.

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Section: E Lightweight Encryptionmentioning

confidence: 99%

Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing

Sasikumar,

Nagarajan

2024

IEEE Access

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“…It is used to calculate the correlation relationship between the encrypted data and the data before encryption. It is also characterized by its ability to cover the characteristics of the image [23]. In this part.…”

Section:  Correlation Analysismentioning

confidence: 99%

Design and Analysis of a Microstrip Patch Antenna for TV White Space Data Applications

2021

IJATCSE

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In the present study, an algorithm for big data encryption has been designed which is concerned with encrypting data in a short time and in a safe manner and difficult to be penetrated by attackers and hackers according to the mechanism used for encryption in this study.The proposed algorithm is a development of an earlier NSCT algorithm. This development is based on adding a key expansion mechanism to generate keys by F-function, and also the number of cycles have been reduced to get less time. The proposed algorithm has been implemented in three stages; the first stage is implemented by FELICS simulation to find out the efficiency of the algorithm. In thesecond stage the proposed algorithm is implemented on the Java language to encrypt the text and to find out the execution time for the encryption. In the last step, the proposed algorithm is implemented on the MATLAB language to encrypt images and to knowthe performance of the algorithm in terms of countering attacks by hackers.After performing these steps and obtaining the results presented in this study, we can say that the proposed algorithm is capable of dealing with big data and that it can be considered safe and free from risks

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