Computational Intelligence in Cloud Computing

Labati, Ruggero Donida; Genovese, Angelo; Piuri, Vincenzo; Scotti, Fabio; Vishwakarma, Sarvesh

doi:10.1007/978-3-030-14350-3_6

Cited by 19 publications

(7 citation statements)

References 50 publications

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“…Other lines of work close to ours are related to the adoption of blockchain and smart contracts for data management and access control (e.g., (Di Francesco Maesa et al, 2017;Kokoris-Kogias et al, 2020;Nguyen et al, 2019;Nguyen et al, 2021;Shafagh et al, 2017;Zichichi et al, 2020;Zyskind et al, 2015)), and privacy and security in cloud computing (e.g., (Donida Labati et al, 2020;Zhang et al, 2020)). These approaches are however complementary to ours, as they do not consider selective encryption and key derivation for enforcing access restrictions to traded resources, and do not consider the peculiarities of data markets.…”

Section: Related Workmentioning

confidence: 85%

Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation

Foresti

Livraga

2021

Proceedings of the 18th International Conference on Security and Cryptography

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The combined adoption of selective encryption and smart contracts deployed on blockchains allows data owners to maintain control over their data when traded on digital data market platforms. Selective encryption, combined with key derivation techniques, guarantees that only customers who are entitled to access a resource can read its content. The adoption of smart contracts deployed on a blockchain permits to regulate the interplay among parties, the possible economic incentives to be paid to the owners, and the exchange of the information necessary for resource decryption (i.e., updates to the key derivation structure) upon payment. However, operations on blockchains have a cost. In this paper, we propose two approaches for updating the key derivation structure to enable customers to access resources, while limiting access times to resources and the cost of write operations on the blockchain to enforce purchases.

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Section: Related Workmentioning

confidence: 85%

Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation

Foresti

Livraga

2021

Proceedings of the 18th International Conference on Security and Cryptography

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“…Trust is reliant on the CSP's obligation to protect data from all dangers, VM security, and other legal factors. During the cloud system security review (CIA), "Con dentiality, Integrity, and Availability" are the three factors that are taken into account (R. D. Labati et al 2020). The cost of each attack in 2019 was 3,83,365 US Dollars, as per the Cyber Security Breaches Report.…”

Section: Cloud Computing-based Data De-duplication Security: a Conundrummentioning

confidence: 99%

Convergent encryption enabled secure data deduplication algorithm for cloud environment

Ahmad,

Arif,

Ahmad

et al. 2024

Concurrency and Computation

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SummaryThe exponential growth of data poses a critical challenge for cloud storage systems. Redundant data consumes valuable storage space and increases infrastructure costs. Data deduplication, a technique for eliminating duplicate data copies, offers a promising solution. However, existing deduplication techniques often compromise data security, especially when dealing with encrypted data. This paper proposes a novel approach that merges convergent encryption (CE) with data deduplication. CE leverages user data itself to generate unique encryption keys, enabling secure deduplication on encrypted data. We analyze existing literature on secure data deduplication and categorize various techniques using UML activity diagrams. We then present our proposed CE‐based deduplication system, outlining its functionalities through UML diagrams. This research contributes to the field of secure data storage by proposing a novel and secure deduplication approach. By demonstrating its efficiency and security benefits, this work paves the way for more efficient and secure cloud storage solutions. Finally, we demonstrate the system's effectiveness through a comparative analysis, highlighting its potential to significantly improve storage efficiency while maintaining data security.

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“…Security is a major requirement of many researchers, anyone how interested in can find a lot of papers that focus on this field, for example see [25]- [31]. At the same time, security and privacy concerns are the main issues that prevent wide acceptance of cloud concepts [3], [32] where switching to a commercial public cloud reduces direct control of systems that manage reliable data and applications [7]. Figure 1 illustrates the differences between traditional security and cloud security.…”

Section: Security In Cloud Computingmentioning

confidence: 99%

“…Simultaneously, the user should apply measures to reinforce their application and use robust passwords/authentication methods [37]. In the environment of cloud computing, data security is a combination of three concepts, called the CIA triangle which consists of: confidentiality, integrity, and availability [3], [14], [38].…”

Section: Cloud Data Security and Privacy 51 Cloud Data Securitymentioning

confidence: 99%

From cloud computing security towards homomorphic encryption: A comprehensive review

Mohammed

Taha

2021

TELKOMNIKA

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Cloud computing" is a new technology that revolutionized the world of communications and information technologies. It collects a large number of possibilities, facilities, and developments, and uses the combining of various earlier inventions into something new and compelling. Despite all features of cloud computing, it faces big challenges in preserving data confidentiality and privacy. It has been subjected to numerous attacks and security breaches that have prompted people to hesitate to adopt it. This article provided comprehensive literature on the cloud computing concepts with a primary focus on the cloud computing security field, its top threats, and the protection against each one of them. Data security/privacy in the cloud environment is also discussed and homomorphic encryption (HE) was highlighted as a popular technique used to preserve the privacy of sensitive data in many applications of cloud computing. The article aimed to provide an adequate overview of both researchers and practitioners already working in the field of cloud computing security, and for those new in the field who are not yet fully equipped to understand the detailed and complex technical aspects of cloud computing.

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Computational Intelligence in Cloud Computing

Cited by 19 publications

References 50 publications

Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation

Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation

Convergent encryption enabled secure data deduplication algorithm for cloud environment

From cloud computing security towards homomorphic encryption: A comprehensive review

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