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Information Security in the cloud: Emerging Trends and Challenges

International Journal of Communications, Network and System Sciences 2024年第5期17卷 69-80页

作者： Keerthana Chitreddy Andrew Mikhl Anthony Chinna Manikanta Bandaru Olatunde Abiona Department of Computer Information Systems Indiana University Northwest Gary IN USA

This article explores the evolution of cloud computing, its advantages over traditional on-premises infrastructure, and its impact on information security. The study presents a comprehensive literature review covering various cloud infrastructure offerings and security models. Additionally, it deeply analyzes real-life case studies illustrating successful cloud migrations and highlights common information security threats in current cloud computing. The article concludes by offering recommendations to businesses to protect themselves from cloud data breaches and providing insights into selecting a suitable cloud services provider from an information security perspective.

关键词： cloud Computing Information Security cloud Infrastructure Offerings cloud Migration Security Measures Data Breaches cloud service providers Cybersecurity cloud Security Case Studies cloud Threat Landscape Data Encryption Compliance cloud Security Tools

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cloud-Based Software Development Lifecycle:A Simplified Algorithm for cloud service Provider Evaluation with Metric Analysis

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Big Data Mining and Analytics 2023年第2期6卷 127-138页

作者： Santhosh S Narayana Swamy Ramaiah Computer Science&Engineering Jain(Deemed-to-be University)Bangalore 562112India

At present,hundreds of cloud vendors in the global market provide various services based on a customer’s *** cloud vendors are not the same in terms of the number of services,infrastructure availability,security strategies,cost per customer,and reputation in the ***,software developers and organizations face a dilemma when choosing a suitable cloud vendor for their developmental ***,there is a need to evaluate various cloud service providers(CSPs)and platforms before choosing a suitable *** existing solutions are either based on simulation tools as per the requirements or evaluated concerning the quality of service ***,they require more time to collect data,simulate and evaluate the *** proposed work compares various CSPs in terms of major metrics,such as establishment,services,infrastructure,tools,pricing models,market share,etc.,based on the comparison,parameter ranking,and weightage ***,the parameters are categorized depending on the priority *** weighted average is calculated for each CSP,after which the values are sorted in descending *** experimental results show the unbiased selection of CSPs based on the chosen *** proposed parameter-ranking priority level weightage(PRPLW)algorithm simplifies the selection of the best-suited cloud vendor in accordance with the requirements of software development.

关键词： cloud-based software development life cycle(SDLC) cloud evaluation parameter-ranking priority level weightage(PRPLW)algorithm cloud service providers software engineering

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Prediction of cloud Ranking in a Hyperconverged cloud Ecosystem Using Machine Learning

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Computers, Materials & Continua 2021年第6期67卷 3129-3141页

作者： Nadia Tabassum Allah Ditta Tahir Alyas Sagheer Abbas Hani Alquhayz Natash Ali Mian Muhammad Adnan Khan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia School of Computer and Information Technology Beaconhouse National UniversityTarogilLahore53700Pakistan Faculty of Computing Riphah School of Computing&InnovationRiphah International University Lahore CampusLahore54000Pakistan

cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the *** design of reliable and high-quality cloud applications requires a strong Quality of service QoS parameter *** a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging *** selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud *** emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this *** software-based unified utilities combine storage virtualization,compute virtualization,and network *** availability of the latter has also raised the demand for *** to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful *** is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various *** research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services.

关键词： cloud computing hyperconverged neural network QoS parameter cloud service providers ranking prediction

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