A Brief Review on Cloud Computing Authentication Frameworks

Khan, Abdul Rashid; Alnwihel, Latifa Khalid

doi:10.48084/etasr.5479

Cited by 9 publications

(6 citation statements)

References 29 publications

(32 reference statements)

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“…However, this scalability and convenience comes with a higher security risk for the data as the uniformity of cloud account structures makes them attractive targets for hackers [ 42–45 ]. To mitigate security risks, cloud providers implement automatic countermeasures and equip users with world-class security measures, including access controls through IP address restriction, continuous threat monitoring, encryption for data in transit and at rest, network and application security, data redundancy, and multifactor authentication [ 46–49 ]. While the economy of scale stems most of the costs for security, scalability, and global connectedness, cloud usage can become expensive, especially for egress-heavy applications and for users who do not implement auto-archiving retention policies to take advantage of low-cost cloud storage options (like AWS Glacier or Azure Archive).…”

Section: Genomic Data Storage Solutionsmentioning

confidence: 99%

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Oliva,

Kaphle,

Reguant

et al. 2024

GigaScience

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Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases. Similarly, clinicians need efficient access to a patient’s genome as well as population-representative historical records for evidence-based decisions. Both researchers and clinicians hence rely on participants to consent to the use of their genomic data, which in turn requires trust in the professional and ethical handling of this information. Here, we review existing and emerging solutions for secure and effective genomic information management, including storage, encryption, consent, and authorization that are needed to build participant trust. We discuss recent innovations in cloud computing, quantum-computing-proof encryption, and self-sovereign identity. These innovations can augment key developments from within the genomics community, notably GA4GH Passports and the Crypt4GH file container standard. We also explore how decentralized storage as well as the digital consenting process can offer culturally acceptable processes to encourage data contributions from ethnic minorities. We conclude that the individual and their right for self-determination needs to be put at the center of any genomics framework, because only on an individual level can the received benefits be accurately balanced against the risk of exposing private information.

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Section: Genomic Data Storage Solutionsmentioning

confidence: 99%

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Oliva,

Kaphle,

Reguant

et al. 2024

GigaScience

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“…Ensuring the security of cloud services is crucial for improving data protection, maintaining reliable service availability, and strengthening corporate reputation and confidence [1][2]. Here are a few benefits of cloud security.…”

Section: B Benefits Of Security On the Cloudmentioning

confidence: 99%

“…Concerning cloud security, many researchers invoke security issues experienced with Software-As-A-Service (SaaS) and Infrastructure-As-A-Service (IaaS) platforms [2][3][9][10][11]. The main difficulties related to SaaS mostly involve the management of data stored in cloud applications [7,11].…”

Section: A State-of-the-art Cloud Securitymentioning

confidence: 99%

“…Moreover, an important step in the recommended solution is to deploy Artificial Intelligence (AI) techniques to resolve the security issues related to cloud computing. This study aims to fortify cloud-based infrastructures against cyber incursions by meticulously scrutinizing client interaction patterns and preemptively identifying potential attack strategies [2]. This proactive approach is essential for maintaining the integrity and robustness of cloud services and ensuring that they do not succumb to operational disruptions [3].…”

Section: Introductionmentioning

confidence: 99%

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Securing Cloud Computing Services with an Intelligent Preventive Approach

Altowaijri,

El Touati

2024

Eng. Technol. Appl. Sci. Res.

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Cloud computing is a technological marvel that transcends conventional boundaries by utilizing an Internet-based network of remote servers to store, manage, and process data and many other services. It represents a contemporary paradigm for delivering information technology services. Today, cloud computing services have become indispensable for both individuals and corporations. However, adopting cloud services presents fresh challenges in terms of service quality, resource optimization, data integration, cost governance, and operational security. The security of cloud services is of supreme importance, given the open and distributed nature of the environment, making it susceptible to various cyberattacks, such as Denial of Service (DoS) or Distributed DoS (DDoS) attacks, among others. Cyberattacks can have severe repercussions on the availability of cloud services, potentially causing complete DoS. In numerous instances, the detection of attacks is delayed, pushing cloud platforms to a breaking point. Emphasizing the importance of proactive measures, it becomes crucial to identify and alert about any suspicious access long before the latter reaches a critical stage, mitigating the risks and preventing potential service disruptions. This study introduces a preventive approach that utilizes artificial intelligence techniques to improve the security of cloud services. The proposed method aims to detect and flag potential attack behaviors well in advance before they affect service quality. To achieve this, the particular method involves periodic identification and measurement of critical information on service access and resource utilization. This can be accomplished by analyzing cloud server logs or integrating dedicated sniffing software to capture and store technical traffic details. Subsequently, the collected data are processed by analyzing traffic properties to proactively identify and report any indications of cyberattacks.

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“…It is a constant challenge to manage the danger of unauthorized access to sensitive data. As shown in Figure 6, the assignment entails creating strong user authentication procedures and controlling access to cloud resources [57]- [61]. A diverse strategy is essential to effectively addressing these issues.…”

Section: Access Control and Authenticationmentioning

confidence: 99%

Security challenges in cloud computing: A comprehensive analysis

Janet Julia Ang'udi

2023

World J. Adv. Eng. Technol. Sci.

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The security issues surrounding cloud computing, a quickly developing technology that is now essential to both personal and business computing, are thoroughly examined in this study. Cloud computing presents serious security risks that require careful attention, despite its many advantages such as scalability, cost-effectiveness, and flexibility. In-depth discussions of a number of important security topics are covered in this paper, including network security, access control, data breaches, legal and regulatory framework compliance, and new threats and vulnerabilities. The paper illuminates the complexities of data and application security in the cloud environment by thoroughly examining these subjects. The study also looks at actual case studies to show how security breaches in cloud computing affect things and how to fix them. The study intends to offer insightful analyses of security challenges with practical implications by examining these cases and providing lessons learned from incidents that have happened in various cloud computing scenarios. Our comprehension of the complex nature of security threats and the tactics used to counter and mitigate them is improved by looking closely at these cases. This study looks into the potential benefits of cloud security enhancements from emerging technologies like artificial intelligence and machine learning, in addition to identifying existing challenges. The research investigates the potential benefits of these technologies in terms of automated security responses, adaptive access controls, and proactive threat detection. Cloud environments may be able to improve their security posture against new and sophisticated threats by utilizing the powers of AI and machine learning. Furthermore, by projecting future trends and challenges in cloud security, this paper offers a forward-looking view of the changing field. Comprehending these possible obstacles is crucial to creating proactive and flexible security approaches that can successfully tackle the ever-changing landscape of cloud computing. This paper's ultimate objective is to offer insightful information about practical approaches and industry best practices for safeguarding cloud environments. Organizations can navigate the complexity of the cloud landscape while protecting their data and applications from the ever-evolving threat landscape by striking a balance between the enormous potential of cloud computing and the necessity of maintaining strong security measures.

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A Brief Review on Cloud Computing Authentication Frameworks

Cited by 9 publications

References 29 publications

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Securing Cloud Computing Services with an Intelligent Preventive Approach

Security challenges in cloud computing: A comprehensive analysis

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