Fast Cloud–Paillier homomorphic schemes for protecting confidentiality of sensitive data in cloud computing

Makkaoui, Khalid El; Ezzati, Abdellah; Beni‐Hssane, Abderrahim; Ouhmad, Slimane

doi:10.1007/s12652-019-01366-3

Cited by 19 publications

(11 citation statements)

References 26 publications

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“…Khalid El Makkaoui [17] developed a fast cloudpaillier method to preserve the confidentiality of data in CC. The developed method improved the security levels that introduced different methods is known as cloud paillier.…”

Section: Literature Reviewmentioning

confidence: 99%

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Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

2022

IJIES

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Cloud computing is gaining popularity due to its higher performance in evaluation computing such as wider availability, lower cost of service, and scalability. Cloud storage is most used in the application where the users get benefits to maintain the local storage device. However, the data integrity is more complex in cloud storage as the Cloud Service Providers (CSP) will lose their outsourced data from users in some accidents. The Third-Party Auditor (TPA) in public auditing makes an impractical assumption, which has a higher computation capability to tolerate the expensive verifications of overhead. Further, the public key infrastructure-based is audited to verify each owner's public key certification that depends on the mechanism and management of public-key certificates. In this research, proposed Improved Rivest Shamir Adleman Cryptosystem (IRSAC) algorithm for dynamic and secure public auditing of user data in the cloud. The encryption and smaller chunks formation is carried out using the Novel and Secure Cryptography-Hashing (NSCH) algorithm. When data gets uploaded, the private and public key is issued to the users to retrieve the secure data. Both the keys are obtained using the IRSAC algorithm that effectively audits the data files regularly. These experimental results showed that the proposed IRSAC method acquires lesser encryption and decryption time of 1420ms and 240ms for 1000 bits of data size. Whereas, the existing method acquired encryption and decryption time of 2210ms and 250ms respectively.

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Section: Literature Reviewmentioning

confidence: 99%

“…The obtained results of the proposed IRSAC method are compared with the existing method such as Fast-Cloud-Paillier [16] and Cloud-Paillier [17]. The dynamic and secure public auditing of user data in the cloud is carried out with different sizes from 100 to 100 in bits in terms of encryption time and decryption time.…”

Section: Comparative Analysismentioning

confidence: 99%

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

2022

IJIES

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“…phic encryption was proposed by Paillier [64]. Fast decryption scheme based on Paillier homomorphic was present by El et al [30]. The unique feature of this scheme is that the private key is used for encrypting and decrypting files, and the evaluation key is used for performing computation (additive homomorphism) on the encrypted files.…”

Section: Homomorphic Encryptionmentioning

confidence: 99%

Data Security and Privacy Protection for Cloud Storage: A Survey

2020

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The new development trends including Internet of Things (IoT), smart city, enterprises digital transformation and world's digital economy are at the top of the tide. The continuous growth of data storage pressure drives the rapid development of the entire storage market on account of massive data generated. By providing data storage and management, cloud storage system becomes an indispensable part of the new era. Currently, the governments, enterprises and individual users are actively migrating their data to the cloud. Such a huge amount of data can create magnanimous wealth. However, this increases the possible risk, for instance, unauthorized access, data leakage, sensitive information disclosure and privacy disclosure. Although there are some studies on data security and privacy protection, there is still a lack of systematic surveys on the subject in cloud storage system. In this paper, we make a comprehensive review of the literatures on data security and privacy issues, data encryption technology, and applicable countermeasures in cloud storage system. Specifically, we first make an overview of cloud storage, including definition, classification, architecture and applications. Secondly, we give a detailed analysis on challenges and requirements of data security and privacy protection in cloud storage system. Thirdly, data encryption technologies and protection methods are summarized. Finally, we discuss several open research topics of data security for cloud storage.

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“…SDP rendered higher CPU utilization; nevertheless, it failed to effectively utilize the cryptography method. Makkaouiet al [25] put forward "2" Cloud-Paillier (CP) variants to effectually accelerate their decryption process: a) MultiPrime CP and b) Fast CP. The former scheme holds the same sort of the CP encryption and employed the CRT for decryption.…”

Section: Related Workmentioning

confidence: 99%

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

2020

IJATCSE

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Cloud computing (CC) allows obtaining computing resources on-demand and also allows storing avalanche of data with a high fault tolerance level. Security is extremely vital when storing an avalanche of data on the cloud for resolving a number of issues. Though several existing works were there to store data on the cloud, still there are some problems that the data owner has to suffer, such as lack of confidentiality, time delay in storing, and also data being attacked because of insider troubles. Thus, this paper strives to strengthen the sensitive Data Confidentiality (DC) in private as well as public cloud storage by proposing a new data portability and access policy scheme to resolve these afore-mentioned problems. A novel algorithm termed Sandpiper Genetic Algorithm (SP-GA) is launched to maintain proper portability between the cloud-severs. Then, Length Caesar Cipher based Access Policy (LCC-AP) technique is utilized to achieve DC. The proposed techniques guarantee DC, support portability, and also provide secured sharing of files among users. Experimental outcomes show the potential efficiency of SP-GA and LCC-AP

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Fast Cloud–Paillier homomorphic schemes for protecting confidentiality of sensitive data in cloud computing

Cited by 19 publications

References 26 publications

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

Data Security and Privacy Protection for Cloud Storage: A Survey

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

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