From cloud computing security towards homomorphic encryption: A comprehensive review

Mohammed, Saja J.; Taha, Dujan B.

doi:10.12928/telkomnika.v19i4.16875

Cited by 15 publications

(8 citation statements)

References 33 publications

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“…The confidentiality of the information being communicated or stored is helped by encryption, which transforms plaintext into an unintelligible format (ciphertext). Encryption can offer additional security advantages in addition to confidentiality, including digital signatures, authentication, and secret key management [3]. To guarantee the information's confidentiality, integrity, and availability, encryption techniques are used.…”

Section: Literature Reviewmentioning

confidence: 99%

“…When information is transferred through the internet or another medium, it is commonly referred to as the study of secrets. It is the technique of concealing data in ciphertext, a non-readable format, to prevent unauthorized access [3]. The message can only be translated into plaintext by those who have access to a secret key.…”

Section: A Overview Of Cryptographic Encryption Algorithmsmentioning

confidence: 99%

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Improved Encryption Algorithm for Public Wireless Network

Khosa,

Mathonsi,

Plessis

et al. 2024

JAIT

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Wireless networks afford numerous benefits for productivity, due to the ease of access to information resources. A network can now be set up and changed more quickly, with less effort, and for less money. However, wireless technology also creates new threats; and alerts the existing risk profile for information security. In Wireless Fidelity (Wi-Fi), security mechanisms such as encryption algorithms play a vital role. A large amount of memory and power is consumed by those algorithms. This research study therefore proposed a Computation Efficient Secure Algorithm (CESA) that reduces the high consumption of power and memory to efficiently secure public Wi-Fi networks. The proposed CESA was based on a hash-based message authentication algorithm. A Digital Signature Algorithm (DSA) was accomplished to produce and verify signatures using the Secure Hash Algorithm (SHA). The Network Simulation-2 (NS-2) tool was used to evaluate the various settings of each algorithm, including key generation time, encryption time, and decryption time. Through the simulation, it was demonstrated that the proposed algorithm CESA outperformed both the Enhanced Diffie-Hellman (EDH) and Advanced Encryption Standard (AES) algorithms in terms of key generation time, encryption time, and decryption time. To generate the key, the proposed CESA algorithm took up to 59 s, while the EDH and AES algorithms took almost 90 s. To encrypt the data, the proposed CESA algorithm took about 98 seconds, while EDH and AES algorithms took almost 167 seconds. To decrypt the data, the proposed CESA algorithm took about 80 s, while EDH and AES algorithms took almost 160 s. Thus, the EDH and AES make CESA more robust against attacks and very rapid in handling encryption and decryption processes.

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Section: Literature Reviewmentioning

confidence: 99%

Section: A Overview Of Cryptographic Encryption Algorithmsmentioning

confidence: 99%

Improved Encryption Algorithm for Public Wireless Network

Khosa,

Mathonsi,

Plessis

et al. 2024

JAIT

View full text Add to dashboard Cite

show abstract

“…Homomorphic encryption is a collection of conceptually safe encryption techniques that allow mathematical operations to be done directly on the ciphertext rather than the plaintext [5]. HE techniques were categorized into: Partially homomorphic encryption (PHE): In such a technique, it is limited to performing a single mathematical operation (adding or multiplying) on the encoded data at a time, as in Pailler (additive HE) and RSA (multiplicative HE) [6].…”

Section: Related Workmentioning

confidence: 99%

Securing Signal Encryption Based on Reduced Round Homomorphic AES

2023

IJIES

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Cryptography plays a vital role in protecting information that has increased as a result of digitalization. Personal sensitive information, including electrocardiogram (ECG) signals, is widely transferred around the world, and as a result, protecting the data from unauthorized access by attackers is critical. One of the algorithms that is frequently used is the advanced encryption standard (AES) algorithm, due to its remarkable reliability and its usage in a wide range of applications. However, key exchange is still necessary to execute computations on the encrypted data, whereas time is considered the essence of the efficiency of the encryption algorithm. This study proposes and investigates the use of the proposed improved reduced round AES algorithm in conjunction with the new proposed fully homomorphic encryption (FHE) in order to preserve data privacy and eliminate key exchange restrictions. This research was employed to process, encrypt, and decrypt digital ECG signals. The suggested algorithm improves the security level and encryption and decryption times by using fewer rounds of encryption. In order to achieve this goal, it was suggested that the evaluation process be added to the AES algorithm as an extra level of security. With the evaluation process, it is possible to execute a number of computation operations homomorphically on the encrypted data without decrypting it. Additionally, the number of rounds in the AES encryption was decreased from 10 to 5. Results indicate that the proposed algorithm would take 5.39475 × 10 32 years to break, making it more efficient than the traditional AES and others. Also, the proposed algorithm has a classification sensitivity of 95.83% while simultaneously displaying an accuracy of 100%. Additionally, it may be utilized for real-time internet of things (IoT) applications.

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“…Only one announce about Deep learning algorithm to prevent malware activities [14]. (Mohammed & Taha, 2021) presented a proximate comprehensive study about homomorphic encryption to enhance the security and privacy of the cloud computing. No deep learning had been listed among the study papers [15].…”

Section: The Related Workmentioning

confidence: 99%

“…They had listed the common clouds and the security methods, they are (blockchain, Deep Learning and Cryptography. Limited information had been reviewed for the deep learning papers with limited criteria [16].…”

Section: The Related Workmentioning

confidence: 99%

A Comprehensive Study of Traditional and Deep-learning Schemes for Privacy and Data Security in the Cloud

sheet¹,

saeed²

2022

AL-Rafidain Journal of Computer Sciences and Mathematics

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After the availability of Internet infrastructure all over the world, and connectivity is no longer an obstacle over the Internet, cloud computing has emerged as a practical and ideal solution. A huge revolution has taken place in the field of cloud computing, where it is now an industry. However, it faces great difficulties in ensuring data confidentiality and privacy. People hesitate to use it due to the risk of innumerable attacks and security breaches. This article has covered a several directions relayed to cloud computing ideas. This research would focus on traditional and deep-learning based schemes to secure user's data in the cloud. This study concluded some points about the capabilities of the traditional and deep learning-based scheme. The comparison showed that both of them increased the levels of security and privacy of the cloud. The study conclude that the Deep learning-based method had been implanted to secure clouds' data in combination with other technique performed better than others.

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From cloud computing security towards homomorphic encryption: A comprehensive review

Cited by 15 publications

References 33 publications

Improved Encryption Algorithm for Public Wireless Network

Improved Encryption Algorithm for Public Wireless Network

Securing Signal Encryption Based on Reduced Round Homomorphic AES

A Comprehensive Study of Traditional and Deep-learning Schemes for Privacy and Data Security in the Cloud

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