On some artificial intelligence methods and technologies for cloud-computing protection

Grusho, A. A.; Zabezhailo, M. I.; Зацаринный, А. А.; Piskovskii, V. O.

doi:10.3103/s0005105517020029

Cited by 16 publications

(7 citation statements)

References 9 publications

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“…Grusho et al [80] discussed AI methods and models to solve information security problems. The most significant security threats to CC environments are the abusive and malicious use of cloud services computing, architectural limitations to cloud infrastructure access, and the dynamic nature of CC environments.…”

Section: Discussion and Lessons Learnedmentioning

confidence: 99%

“…They discussed how to achieve moderation for distributed computing security risks as an essential advance toward acquiring a safe condition for distributed computing. In Reference [80], the advantage is to provide parallel processing capability and the disadvantage is increase computational cost. In Reference [76], the advantage is efficient data handling and the disadvantages are time and space issues.…”

Section: Discussion and Lessons Learnedmentioning

confidence: 99%

“…Grusho et al [80] discussed AI methods and models to solve information security problems. The most significant security threats to cloud-computing environments were abusive and malicious use of cloud services, architectural limitations to cloud-infrastructure access and the dynamic nature of CC environments the control-ability of all CCE-deployed VMs, remote access to computing resources, dynamic changes in the current landscape of involved VMs, the vulnerability of idle VMs, unsafe interfaces (unauthorized entry or hacking of interfaces and API4), malicious insiders (intruders-insiders), and problems with the distributed use of technologies (including those with the synchronized use of cloud infrastructure resources by various users).…”

Section: Svmmentioning

confidence: 99%

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A Review of Machine Learning Algorithms for Cloud Computing Security

et al. 2020

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Cloud computing (CC) is on-demand accessibility of network resources, especially datastorage and processing power, without special and direct management by the users. CC recentlyhas emerged as a set of public and private datacenters that offers the client a single platform acrossthe Internet. Edge computing is an evolving computing paradigm that brings computation andinformation storage nearer to the end-users to improve response times and spare transmissioncapacity. Mobile CC (MCC) uses distributed computing to convey applications to cell phones.However, CC and edge computing have security challenges, including vulnerability for clients andassociation acknowledgment, that delay the rapid adoption of computing models. Machine learning(ML) is the investigation of computer algorithms that improve naturally through experience. In thisreview paper, we present an analysis of CC security threats, issues, and solutions that utilizedone or several ML algorithms. We review different ML algorithms that are used to overcomethe cloud security issues including supervised, unsupervised, semi-supervised, and reinforcementlearning. Then, we compare the performance of each technique based on their features, advantages,and disadvantages. Moreover, we enlist future research directions to secure CC models.

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Section: Discussion and Lessons Learnedmentioning

confidence: 99%

Section: Discussion and Lessons Learnedmentioning

confidence: 99%

Section: Svmmentioning

confidence: 99%

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A Review of Machine Learning Algorithms for Cloud Computing Security

et al. 2020

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“…The patient's therapy will be difficult if someone else handles and obtains this information. [18] Risks to transparency, panel expansion's effects, organizational inaccessibility, external equipment disruption, and insufficient recovery methods are some of the threats to availability. First, attention has been drawn to the board, which also includes the results of basic adjustments and the implications of different consumers' entrance into test customers.…”

Section: Figure1 Security Threats In Cloud Computingmentioning

confidence: 99%

Artificial Intelligence in Cloud Computing Security

2023

IRJMETS

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Cloud computing (CC) provides users with online access to network services, including enhanced, transparent user management and the capacity to gather and process data. A shared Internet gateway is offered by CC, which is evolving into a private and public data center set. The integration of AI technologies into a substantial amount of computer resources, especially integrated systems, presents a number of resource problems that require careful adjustment. The IoT paradigm recently evolved in an application for smart environments. Security and privacy are seen as being of the utmost importance in any smart IoT environment in the real world. Digital environments face security threats as a result of security flaws in IoT-based networks. Because AI has excellent learning capabilities, it is more dependable and effective at spotting harmful threats. The current architecture presented in this article will support several applications of AI in digital homes detailed study of security concerns and issues. II. CLOUD COMPUTINGCloud computing is the use of the Internet to access various services. In addition to data storage, this includes hardware and systems for servers, databases, networking, and applications [10][11][12][13]. Files may now be stored in a central archive rather than on a personal hard drive or storage device, thanks to cloud computing [10]. Any time a digital user gets access to the Internet, they may access apps and information. People and businesses alike embrace cloud storage because it offers financial savings, increased productivity, speed, dependability, and customizability. [14] Cloud Security Threat CC is a phrase that will see significant and wide development. There are several threats to difficulties with protection and security. The CIA feature and cloud risks are the basis for the analysis. Confidentiality, integrity,

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“…The most important one is the security [57] . Many techniques in AI, such as decision tree [58] and deep learning [59] , have been successfully applied to detect distributed denial of service (DDoS). AI also helps to improve the reliability of cloud authentication, which can further prevent data leaks and unauthorized use of services [60] .…”

Section: Ai and Cloud Computingmentioning

confidence: 99%

Artificial Intelligence for Metaverse: A Framework

Guo

et al. 2022

CAAI Artificial Intelligence Research

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The metaverse is attracting considerable attention recently. It aims to build a virtual environment that people can interact with the world and cooperate with each other. In this survey paper, we re-introduce metaverse in a new framework based on a broad range of technologies, including perception which enables us to precisely capture the characteristics of the real world, computation which supports the large computation requirement over large-scale data, reconstruction which builds the virtual world from the real one, cooperation which facilitates long-distance communication and teamwork between users, and interaction which bridges users and the virtual world. Despite its popularity, the fundamental techniques in this framework are still immature. Innovating new techniques to facilitate the applications of metaverse is necessary. In recent years, artificial intelligence (AI), especially deep learning, has shown promising results for empowering various areas, from science to industry. It is reasonable to imagine how we can combine AI with the framework in order to promote the development of metaverse. In this survey, we present the recent achievement by AI for metaverse in the proposed framework, including perception, computation, reconstruction, cooperation, and interaction. We also discuss some future works that AI can contribute to metaverse.

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On some artificial intelligence methods and technologies for cloud-computing protection

Cited by 16 publications

References 9 publications

A Review of Machine Learning Algorithms for Cloud Computing Security

A Review of Machine Learning Algorithms for Cloud Computing Security

Artificial Intelligence in Cloud Computing Security

Artificial Intelligence for Metaverse: A Framework

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