A swift Cloud-Paillier scheme to protect sensitive data confidentiality in cloud computing

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

doi:10.1016/j.procs.2018.07.147

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…The purpose of using PHE is to attain the privacy and security of logs in cloud storage while the continuous updates of logs from the fog node controller. PHE is fast and provides additive operations upon logs file increment in cloud storage and also provides semantics security [56].…”

Section: Log Archiving Layer (Layer Three)mentioning

confidence: 99%

Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies

et al. 2020

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Collecting and preserving the smart environment logs connected to cloud storage is challenging due to the black-box nature and the multi-tenant cloud models which can pervade log secrecy and privacy. The existing work for log secrecy and confidentiality depends on cloud-assisted models, but these models are prone to multi-stakeholder collusion problems. This study proposes ’PLAF,’ a holistic and automated architecture for proactive forensics in the Internet of Things (IoT) that considers the security and privacy-aware distributed edge node log preservation by tackling the multi-stakeholder issue in a fog enabled cloud. We have developed a test-bed to implement the specification, as mentioned earlier, by incorporating many state-of-the-art technologies in one place. We used Holochain to preserve log integrity, provenance, log verifiability, trust admissibility, and ownership non-repudiation. We introduced the privacy preservation automation of log probing via non-malicious command and control botnets in the container environment. For continuous and robust integration of IoT microservices, we used docker containerization technology. For secure storage and session establishment for logs validation, Paillier Homomorphic Encryption, and SSL with Curve25519 is used respectively. We performed the security and performance analysis of the proposed PLAF architecture and showed that, in stress conditions, the automatic log harvesting running in containers gives a 95% confidence interval. Moreover, we show that log preservation via Holochain can be performed on ARM-Based architectures such as Raspberry Pi in a very less amount of time when compared with RSA and blockchain.

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Section: Log Archiving Layer (Layer Three)mentioning

confidence: 99%

Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies

et al. 2020

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“…El Makkaoui [6] This research aims to develop the speed of verifying the security of the information in the data stored in the cloud because most of those who use the cloud use devices with limited resources such as (mobile phones, tablets, and etc.) The researchers' proposal was to use homomorphic encryption (HE) so that the third party could have the ability to deal with confidential data and information, and Cloud-Paillier scheme has also been proposed, which will help in the decryption process faster while maintaining the level of security in the data and the level of encryption.…”

Section: Introductionmentioning

confidence: 99%

Sensitive Data Exposure: Data Forwarding and Storage on Cloud Environment

et al. 2021

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Sensitive data has become an essential part of life today. With the increase in sensitive data, the importance of maintaining its confidentiality and integrity has increased. One of the solutions became to store this data in the cloud. But the risk of revealing this data still exists. This is because the rate of attack, leakage and loss of this data has become a serious matter. The importance of sensitive data in our current era is considered our oil, as it is very important in several uses in statistical analyzes and other important matters that help the authorities to know the type of people and their interests, and when publishing this information it is important to know what information should be available and What information should not appear or be used on the sites. In this paper, discuss this issue, which is one of the most important security issues that is sensitive data exposure. We touched on this research and the techniques used to reduce these risks to the data stored in the cloud. Mention the types of sensitive data and the types of attacks that may affect these data, and mention the points of weakness, and then the methods of protecting this data.

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

Makkaoui

Ezzati

Beni‐Hssane

et al. 2019

J Ambient Intell Human Comput

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A swift Cloud-Paillier scheme to protect sensitive data confidentiality in cloud computing

Cited by 7 publications

References 20 publications

Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies

Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies

Sensitive Data Exposure: Data Forwarding and Storage on Cloud Environment

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

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