Use of cryptography in cloud computing

Jaber, Aws Naser; Zolkipli, Mohamad Fadli

doi:10.1109/iccsce.2013.6719955

Cited by 40 publications

(5 citation statements)

References 7 publications

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“…However, these systems have many common features with distributed systems, and data security is the biggest problem in these systems [7]. Jaber et al (2013) projected the architecture of the cloud model, and when it is deployed in the cloud environment, it will threaten the security of existing technology. Therefore, the cloud service user needs to be aware of the dangers while uploading the data to the new environment.…”

Section: Literature Surveymentioning

confidence: 99%

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

Gnanavel

Sathianesan

K.E³

et al. 2023

Preprint

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Cloud computing is a relatively new technology that allows multiple users to share computational resources and data over the internet. It supports multi-tenant to meet the needs of users to access the resources at the same time, it improves the profitability of the cloud service provider. The Virtual Machine (VM) operates on the same core device that is the focus of any aberrant or malicious attack. These attacks may include data leakage, privacy breaches, and unauthorized access to cloud resources. The outsider attacks may be server spoofing, stolen verifier, password guessing, impersonation, and replay attacks at the cloud’s network layer. The insider attacks may be side-channel attacks to gain access to shared resources. A Self-Adaptive Honey Encryption (SAHE) method for stronger multi-level authentication in a cloud environment the hypervisor layer monitors the running cloud memory, CUP, communication port, and network infrastructure. Introduce the classifier mode to identify the attack and VM risk level (high, medium, and low) to improve the VM performance and attack identification. A rule-based mechanism to detect a side-channel attack by monitoring cache data access. Processes running on the VM can use the cache of another virtual machine, creating a cache conflict in the system. The cache-based attack on the Physical Machine (PM) creates the cache contention to mitigate the attacker’s data. We propose a novel rule-based authentication with the swam optimization method for shifting the resource from an optimized VM into a physical machine. The migration method for optimal PM makes the VM free from cache contention, and it also mitigates the cache side-channel attack in the cloud environment.

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Section: Literature Surveymentioning

confidence: 99%

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

Gnanavel

Sathianesan

K.E³

et al. 2023

Preprint

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“…Encryption for the cloud computing world is an important issue requiring investigation in several studies [8]. Jaber and Bin argue that an example of a significant focus area of encryption in cloud computing is identification based on encryption [9]. Since cloud computing manages crucial data and is accessible anywhere globally through the internet, security is a critical factor and significant concern [10].…”

Section: Cryptographymentioning

confidence: 99%

A Dynamic Four-Step Data Security Model for Data in Cloud Computing Based on Cryptography and Steganography

Adee

Mouratidis

2022

Sensors

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Cloud computing is a rapidly expanding field. It allows users to access computer system resources as needed, particularly data storage and computational power, without managing them directly. This paper aims to create a data security model based on cryptography and steganography for data in cloud computing that seeks to reduce existing security and privacy concerns, such as data loss, data manipulation, and data theft. To identify the problem and determine its core cause, we studied various literature on existing cloud computing security models. This study utilizes design science research methodology. The design science research approach includes problem identification, requirements elicitation, artifact design and development, demonstration, and assessment. Design thinking and the Python programming language are used to build the artifact, and discussion about its working is represented using histograms, tables, and algorithms. This paper’s output is a four-step data security model based on Rivest–Shamir–Adleman, Advanced Encryption Standard, and identity-based encryption algorithms alongside Least Significant Bit steganography. The four steps are data protection and security through encryption algorithms, steganography, data backup and recovery, and data sharing. This proposed approach ensures more cloud data redundancy, flexibility, efficiency, and security by protecting data confidentiality, privacy, and integrity from attackers.

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“…Once the data is encrypted, it is subjected to a deduplication process which maintains more security and redundant data management. In order to offer a secured deduplication process, it is necessary to offer encryption process [9,10]. The process performs permutation of the data that is replicated with a specific secret key where the elements of the replicated data are obtained by applying conventional hash function.…”

Section: Introductionmentioning

confidence: 99%

An extensive research survey on data integrity and deduplication towards privacy in cloud storage

Kumar¹,

Shantala²

2020

IJECE

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Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.

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Use of cryptography in cloud computing

Cited by 40 publications

References 7 publications

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

A Dynamic Four-Step Data Security Model for Data in Cloud Computing Based on Cryptography and Steganography

An extensive research survey on data integrity and deduplication towards privacy in cloud storage

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