The Proposed Model to Increase Security of Sensitive Data in Cloud Computing

Hyseni, Dhuratë; Selimi, Besnik; Luma, Artan; Cico, Betim

doi:10.14569/ijacsa.2018.090229

Cited by 13 publications

(5 citation statements)

References 10 publications

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“…-Encryption and Cryptography: such as studies [1,4,7,10,12,13]. These studies also mentioned various types of encryption and cryptography such as homomorphic, symmetric, asymmetric, multi-stage and hybrid encryption.…”

Section: Resultsmentioning

confidence: 99%

Data Security Challenges and Solutions in Cloud Computing: Critical Review

Al-Otaibi

2022

Comm. Math. Appl.

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This paper was prepare, based on the sensitivity of data security topics, and based on the controversy surrounding cloud-computing security. Therefore, this paper aimed to contribute by providing some tips and directions related to cloud security through critical review for a number of recent studies. Then, extracting the most important latest problems and solutions that related to data security in cloud computing; and presenting them all in one study to become a comprehensive reference. The study found that the most important problems are data leakage, data remoteness, privacy and data segregation. As for the most important solutions that this paper reached to meet these challenges, were using practical strategies like models and standards, and using different emerging and programming technologies such as encryption, digital signatures, hashing, and blockchain, smart contracts, IoTs sensors and devices, edge computing, and fog computing. The study recommended researchers to conduct more theoretical and practical research on the subject, and recommended the cloud services providers to adopt several practical strategies and emerging technologies for higher protection.

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Section: Resultsmentioning

confidence: 99%

Data Security Challenges and Solutions in Cloud Computing: Critical Review

Al-Otaibi

2022

Comm. Math. Appl.

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“…Authors proved that DA‐Resch decreases the proportion of requests at work time, reduces the time for data transmission, and optimizes bandwidth consumption when compared to the Swift Client system in real‐world experiments utilizing the OpenStack storage (i.e., Swift). Hyseni and coworkers 24 devised a novel security method that is overseen by the company/organization's information technology specialist. This method is built on a number of file encryption, segmentation, and distribution mechanisms implemented by a number of storage providers.…”

Section: Related Workmentioning

confidence: 99%

Security and storage improvement in distributed cloud data centers by increasing reliability based on particle swarm optimization and artificial immune system algorithms

Chamkoori

Katebi

2023

Concurrency and Computation

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Summary One of the major concerns in security and storage improvement of data centers is due to the fact that there is a possibility of access to cloud information, and the distance between data centers for data transfer causes cloud storage problems. In this article, an encryption method using artificial immune system (AIS) is leveraged to secure sensitive data in data centers and particle swarm optimization (PSO) algorithm is exploited to improve the selection of storage services in distributed cloud data centers to store and transfer particular a data set between data centers. To obtain satisfied performance considering the transmitting cost, and smallest transmitting distance, we exploited one discrete PSO algorithm and AIS method and called PSO_AIS. To evaluate the proposed PSO_AIS algorithm, we designed the experiments and simulated it in MATLAB software. In the simulation, we conducted experiments on 13 data centers located in different locations in Iran. The experimental results expose that the proposed algorithm reduces 30% the distance and cost to select a particular data center for a particular data set. Experiments have been carried‐out to demonstrate the effectiveness of the proposed encryption method, which is based on AIS. The results showed that the encoding performance of the proposed method is better than other methods.

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“…To present an Amazon-defined identity, accessing Amazon cloud services like Amazon Simple Storage Service is essential; for instance, a Google account is required for using Google App Engine. Microsoft and other Windows Live Identity applications are provided by Microsoft, whereas BizTalk Services' identity service can be combined [10]. Since a specific identity provider is frequently secured with cloud computing platforms, developers lack absolute freedom.…”

Section: User Identity Managementmentioning

confidence: 99%

Cloud Security Service for Identifying Unauthorized User Behaviour

David¹,

Anam²,

Kaliappan³

et al. 2022

Computers, Materials &Amp; Continua

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Recently, an innovative trend like cloud computing has progressed quickly in Information Technology. For a background of distributed networks, the extensive sprawl of internet resources on the Web and the increasing number of service providers helped cloud computing technologies grow into a substantial scaled Information Technology service model. The cloud computing environment extracts the execution details of services and systems from end-users and developers. Additionally, through the system's virtualization accomplished using resource pooling, cloud computing resources become more accessible. The attempt to design and develop a solution that assures reliable and protected authentication and authorization service in such cloud environments is described in this paper. With the help of multi-agents, we attempt to represent Open-Identity (ID) design to find a solution that would offer trustworthy and secured authentication and authorization services to software services based on the cloud. This research aims to determine how authentication and authorization services were provided in an agreeable and preventive manner. Based on attack-oriented threat model security, the evaluation works. By considering security for both authentication and authorization systems, possible security threats are analyzed by the proposed security systems.

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The Proposed Model to Increase Security of Sensitive Data in Cloud Computing

Cited by 13 publications

References 10 publications

Data Security Challenges and Solutions in Cloud Computing: Critical Review

Data Security Challenges and Solutions in Cloud Computing: Critical Review

Security and storage improvement in distributed cloud data centers by increasing reliability based on particle swarm optimization and artificial immune system algorithms

Cloud Security Service for Identifying Unauthorized User Behaviour

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