Evidence Detection in Cloud Forensics: Classifying Cyber-Attacks in IaaS Environments using machine learning

Data & Metadata, Год журнала: 2025, Номер 4, С. 699 - 699

Опубликована: Фев. 10, 2025

Introduction: Cloud computing is considered a remarkable paradigm shift in Information Technology (IT), offering scalable and virtualized resources to end users at low cost terms of infrastructure maintenance. These offer an exceptional degree flexibility adhere established standards, formats, networking protocols while being managed by several management entities. However, the existence flaws vulnerabilities underlying technology outdated opens door for malicious network attacks.Methods: This study addresses these introducing method classifying attacks Infrastructure as Service (IaaS) cloud environments, utilizing machine learning methodologies within digital forensics framework. Various algorithms are employed automatically identify categorize cyber-attacks based on metrics related process performance. The dataset divided into three distinct categories—CPU usage, memory disk usage—to assess each category’s impact detection systems.Results: Decision Tree Neural Network models recommended analyzing disk-related features due their superior performance detecting with accuracy 90% 87.9%, respectively. deemed more suitable identifying CPU behavior, achieving 86.2%. For memory-related features, K-Nearest Neighbor (KNN) demonstrates best False Negative Rate (FNR) value 1.8%.Discussion: Our highlights significance customizing selection classifiers specific system feature intended focus detection. By tailoring particular activities IaaS environments can be enhanced, practical insights effective attack classification.

Язык: Английский

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Impact of Business Intelligence Capabilities on Competitive Performance of Jordanian Hypermarkets

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 73 - 86

Опубликована: Янв. 1, 2025

Язык: Английский

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Innovation Through Intelligence: Mapping the Adoption of Artificial Intelligence with Bibliometric Methods

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 187 - 198

Опубликована: Янв. 1, 2025

Язык: Английский

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Impact of Green Supply Chain Practices on Customer Satisfaction of Industrial Sector in Jordan

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 803 - 816

Опубликована: Янв. 1, 2025

Язык: Английский

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Green Human Resource Management Initiatives and Their Influence on Sustainable Performance: Evidence from Jordanian Universities

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 775 - 788

Опубликована: Янв. 1, 2025

Язык: Английский

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Predicting the Innovations for the Next Decade to Future Directions in Digital Marketing

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 415 - 430

Опубликована: Янв. 1, 2025

Язык: Английский

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Continuous Improvement: Exploring the Relationship Between Six Sigma Implementation and Organizational Agility in the Jordan Customs Department

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 817 - 830

Опубликована: Янв. 1, 2025

Язык: Английский

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Evolution and Trends in Entrepreneurship Research: A Bibliometric Analysis

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 479 - 489

Опубликована: Янв. 1, 2025

Язык: Английский

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Tracking the Factors Affecting Adoption of Cryptocurrency: Evidence from Jordanian Market Using the User Experience Questionnaire

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 275 - 288

Опубликована: Янв. 1, 2025

Язык: Английский

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Unveiling Research Trends in Enterprise Resource Planning: A Bibliometric Study

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 507 - 519

Опубликована: Янв. 1, 2025

Язык: Английский

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