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Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad ali Abosaq Saad Arif Zohaib Mushtaq Muhammad Irfan Ghulam Abbas Arshad ali alanoud al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

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Systematic Analysis of Safety and Security Risks in Smart Homes

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Computers, Materials & Continua 2021年第7期68卷 1409-1428页

作者： Habib Ullah Khan Mohammad Kamel alomari Sulaiman Khan Shah Nazir Asif Qumer Gill alanoud ali al-maadid Zaki Khalid Abu-Shawish Mostafa Kamal Hassan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar Department of Computer Science University of SwabiSwabiPakistan School of Software University of Technology SydneySydneyAustralia Department of Finance&Economics College of Business&EconomicsQatar UniversityDohaQatar

The revolution in Internet of Things(IoT)-based devices and applications has provided smart applications for *** applications range from healthcare to traffic-flow management,to communication devices,to smart security devices,and many *** particular,government and private organizations are showing significant interest in IoT-enabled applications for smart *** the perceived benefits and interest,human safety is also a key *** research is aimed at systematically analyzing the available literature on smart homes and identifying areas of concern or risk with a view to supporting the design of safe and secure smart *** this systematic review process,relevant work in the most highly regarded journals published in the period 2016–2020(a section of 2020 is included)was analyzed.A final set of 99 relevant articles(journal articles,book sections,conference papers,and survey papers)was analyzed in this *** analysis is focused on three research questions and relevant *** systematic analysis results and key insights will help researchers and practitioners to make more informed decisions when dealing with the safety and security risks of smart homes,especially in emergency situations.

关键词： Smart buildings IoT smart homes systematic literature review prototype model

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Knowledge and Awareness towards Chronic Kidney Disease Risk Factors in Saudi Arabia

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International Journal of Clinical Medicine 2018年第11期9卷 799-808页

作者： Ibrahim A. Bin Ahmed Saleh Hadi alharbi Fahad A. alateeq Abdulmalik M. aloriney Abdullah Abdulhadi Hammad alharbi Abdul Rahman ali alSogair ali Dawood Mohmmed almansour alanoud Mansour Ayed albalawi Hussain Gadelkarim Ahmed Faculty of Medicine Al Imam Mohammad ibn Saud Islamic University Riyadh Saudi Arabia College of Medicine University of Hail Hail Saudi Arabia

Background: The risk of CKD is high in Saudi Arabia due to increasingly growing prevalence of its risk factors, such as diabetes, hypertension and obesity. Therefore, the objective of this study was to assess the level of awareness of Saudi population towards CKD risk factors in order to generate platform for future planning. Methodology: This study included 940 apparently healthy Saudi volunteers, their ages ranging from 17 to 65 years old with a mean age of 35 years. A purposeful questionnaire was designed and used for obtaining data about the CKD risk factors. Results: Out of 940 participants, 293 (31.2%) were males and 647 (68.8%) were females, giving males “females” ratio of 1.00:2.21. About 62.3% of the participants were found to believe that DM is one of the main risk factors for CKD, of whom, 74% were males and 57% were females. Approximately 60% of the participants were found believing that hypertension is one of the main risk factors for CKD, of whom 79.5% were males and 51.6% were females. Conclusion: There is an increasing in the prevalence of CKD risk factors among Saudi population. although, the levels of awareness toward some CKD risk factors are relatively increasing, but more health education efforts are deemed importance.

关键词： CKD Saudi Arabia Hypertension Diabetes Obesity Awareness Risk Factors

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Knowledge towards Chronic Kidney Disease Manifestations in Saudi Arabia

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Open Journal of Preventive Medicine 2018年第11期8卷 315-323页

作者： Fahad A. alateeq Abdulmalik M. aloriney Saleh Hadi alharbi Ibrahim A. Bin Ahmed Abdullah Abdulhadi Hammad alharbi Abdul Rahman ali alSogair ali Dawood Mohmmed almansour alanoud Mansour Ayed albalawi Hussain Gadelkarim Ahmed Faculty of Medicine Al Imam Mohammad Ibn Saud Islamic University Riyadh KSA College of Medicine University of Hail Hail KSA

Background: Increasing awareness level and health education can reduce the burden of Chronic Kidney Disease (CKD) at community base. Therefore, the aim of the present study was to assess the level of knowledge towards CKD manifestations in Saudi Arabia. Methodology: This is a descriptive prospective study including 900 apparently health Saudi volunteers, their ages ranging from 18 to 65 years old with a mean age of 34 years. A purposeful questionnaire was deliberated and used for obtaining data about the CKD. Results: Out of 900 contributors, 268 (29.8%) were males and 632 (70.2%) were females, giving males:females ratio of 1.00:2.36. About 102/900 (11.3%) of the participants (all of them were females) were found to believe that CKD has no specific symptoms. Conclusion: The awareness towards CKD manifestation is relatively low, which necessitates the important of community based intervention including health educational programs.

关键词： CKD Saudi Arabia Awareness Manifestations

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