Digital Forensics Domain and Metamodeling Development Approaches

Ameerbakhsh, Omair; Ghabban, Fahad; Alfadli, Ibrahim; AbuAli, Amer Nizar; Al-Dhaqm, Arafat; Al‐Khasawneh, Mahmoud Ahmad

doi:10.1109/icscee50312.2021.9497935

Cited by 10 publications

(4 citation statements)

References 38 publications

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“…Metamodeling is a general technique for integrating and defining models from different domains. Common terms for these different views can be identified and shared (Ameerbakhsh et al, 2021). The metamodeling technique can be applied in various fields, especially for standardization.…”

Section: Methodsmentioning

confidence: 99%

Challenges and Issues of Public Education in Saudi Arabia during Covid-19: Review Paper

Al-Shehri¹

2023

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The Covid-19 pandemic compelled many countries to implement the stay-at-home policy, which insisted many employees and workers in variety of industries to work from home. This global crisis also prompted universities, colleges, and schools to conduct their teaching activities online via the Internet. Although online education is favourable for students especially in the era of pandemic, a full mode of online teaching could be associated with many challenges. Particularly, in the Kingdom of Saudi Arabia (KSA), most education sectors were closed down according to government order. The Ministry of Education (MOE) of the KSA began providing online education services in public and private educational institutions. Thus, this paper aims to determine how Covid-19 impacted higher education in the KSA by highlighting the challenges faced by this sector and identifying the best strategies to address these challenges. In this study, the design science approach was applied. The results revealed that the KSA faced several challenges and issues during the Covid-19 pandemic, and the suggested solution is better in dealing with these challenges.

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Section: Methodsmentioning

confidence: 99%

Challenges and Issues of Public Education in Saudi Arabia during Covid-19: Review Paper

Al-Shehri¹

2023

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“…Various studies have been reported that investigate and recognize cybercrime [22,[31][32][33][34][35][36][37][38][39][40], data cracks [23,[41][42][43][44][45][46][47][48][49][50], and other digital risks [24,25,[41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58].…”

Section: A Related Workmentioning

confidence: 99%

A Cybersecurity Awareness Model for the Protection of Saudi Students from Social Media Attacks

Alotibi

2024

Eng. Technol. Appl. Sci. Res.

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Social engineering addresses a broad category of techniques aiming to persuade someone to reveal data or perform actions for criminal purposes, such as disclosing personal information about a particular target. Cybersecurity awareness is required to raise people’s understanding of how these social engineering techniques are being used and so their capacity to exploit them. To accomplish this objective, primary focus is given to educating and training individuals on how to recognize such incidents and respond to them effectively. To protect people against social engineering threats, various cybersecurity models and approaches have been proposed. There are, however, a few differences between these models, since they are developed for specific purposes. Thus, the main objective of this study is to develop a cybersecurity awareness model specifically designed for Saudi students to protect them from social engineering attacks. The design science methodology was utilized in this study. The proposed model consists of four main stages: education and training, developing policies and guidelines, improving Saudi schools’ security, as well as monitoring and evaluation. The model introduced can ensure the safety and privacy of students, teachers, and staff across different social platforms.

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“…Authors in [21] provided an overview of various forensic techniques and approaches in cloud environments, offering valuable insights into the field of establishing NMI. Digital forensics in cloud computing environments face unique difficulties related to data collection, preservation, and analysis, laying the foundation for the need to develop structured models [22][23][24].…”

Section: A Cloud Forensics and Investigationsmentioning

confidence: 99%

An Improved Machine Learning Method by applying Cloud Forensic Meta-Model to Enhance the Data Collection Process in Cloud Environments

Al-mugern,

Othman,

Al-Dhaqm

2024

Eng. Technol. Appl. Sci. Res.

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Cloud computing has revolutionized the way businesses operate by offering accuracy in Normalized Mutual Information (NMI). However, with the growing adoption of cloud services, ensuring the accuracy and validation of common processes through machine learning and clustering of these common concepts as well as of the processes generated by cloud forensics experts’ data in cloud environments has become a paramount concern. The current paper proposes an innovative approach to enhance the data collection procedure in cloud environments by applying a Cloud Forensic Meta-Model (CFMM) and integrating it with machine learning techniques to improve the cloud forensic data. Through this approach, consistency and compatibility across different cloud environments in terms of accuracy are ensured. This research contributes to the ongoing efforts to validate the clustering process for data collection in cloud computing environments and advance the field of cloud forensics for standardizing the representation of cloud forensic data, certifying NMI and accuracy across different cloud environments.

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Digital Forensics Domain and Metamodeling Development Approaches

Cited by 10 publications

References 38 publications

Challenges and Issues of Public Education in Saudi Arabia during Covid-19: Review Paper

Challenges and Issues of Public Education in Saudi Arabia during Covid-19: Review Paper

A Cybersecurity Awareness Model for the Protection of Saudi Students from Social Media Attacks

An Improved Machine Learning Method by applying Cloud Forensic Meta-Model to Enhance the Data Collection Process in Cloud Environments

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