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Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection (2024)
Thesis
Salloum, S. (2024). Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection. (Thesis). University of Salford

Phishing is a significant threat to the modern world, causing considerable financial losses. Although electronic mail has shown to be a valuable asset around the world in terms of facilitating communication for all parties involved, whether huge corp... Read More about Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection.

Uncovering the Share Fake News on Social Media During Crisis (2024)
Conference Proceeding
Tahat, K., Salloum, S., Mansoori, A., Tahat, D., Habes, M., Shaalan, K., …Alghazo, E. (2024). Uncovering the Share Fake News on Social Media During Crisis. . https://doi.org/10.1109/snams60348.2023.10375458

The COVID-19 pandemic has been accompanied by an unprecedented amount of information and misinformation, making it challenging for individuals to discern accurate information from false information. To understand the spread of false information durin... Read More about Uncovering the Share Fake News on Social Media During Crisis.

Delving Into the Security & Privacy of the Metaverse Matrix (2024)
Conference Proceeding
Salloum, S., Tahat, K., Tahat, D., Mansoori, A., & Alfaisal, R. (2024). Delving Into the Security & Privacy of the Metaverse Matrix. . https://doi.org/10.1109/snams60348.2023.10375463

In the burgeoning Metaverse, an intricate digital realm sculpted by the convergence of physical virtual reality and enduring virtual spaces, there lies unprecedented potential for revolutionary social and economic interactions. However, despite its g... Read More about Delving Into the Security & Privacy of the Metaverse Matrix.

Exploring Gamification Research Trends Using Topic Modeling (2023)
Journal Article
Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequent... Read More about Exploring Gamification Research Trends Using Topic Modeling.

Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study (2023)
Journal Article
Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. (in press). Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study. Informatics in Medicine Unlocked, 42, 101354. https://doi.org/10.1016/j.imu.2023.101354

The outbreak of the COVID-19 pandemic led to disruptions in the delivery of medical training across borders, posing challenges in observing and practicing advanced surgical techniques with cutting-edge medical equipment from foreign countries. Howeve... Read More about Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study.

Gender as a moderating variable in online misinformation acceptance during COVID-19. (2023)
Journal Article
Mansoori, A., Tahat, K., Tahat, D., Habes, M., Salloum, S. A., Mesbah, H., & Elareshi, M. (in press). Gender as a moderating variable in online misinformation acceptance during COVID-19. Heliyon, 9(9), e19425. https://doi.org/10.1016/j.heliyon.2023.e19425

Misinformation remained a critical consideration during the COVID-19 that further cultivated fears leading to strong unrest among the public globally. This study clarifies certain misconceptions related to the pandemic by investigating whether factor... Read More about Gender as a moderating variable in online misinformation acceptance during COVID-19..

A New English/Arabic Parallel Corpus for Phishing Emails (2023)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (in press). A New English/Arabic Parallel Corpus for Phishing Emails. #Journal not on list, https://doi.org/10.1145/3606031

Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegitimate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being hand... Read More about A New English/Arabic Parallel Corpus for Phishing Emails.

Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries (2023)
Journal Article
Sarwar, B., Sarwar, A., Mugahed Al-Rahmi, W., Almogren, A. S., Salloum, S., & Habes, M. (2023). Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries. Cogent Business and Management, 10(2), https://doi.org/10.1080/23311975.2023.2210888

This study presents a research framework based on the underlying richness of social media capacity (usefulness) at the individual level of youngsters regarding their contribution to building social capital and civic engagement, which significantly le... Read More about Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries.

Factors indicating media dependency and online misinformation sharing in Jordan (2023)
Journal Article
Habes, M., Elareshi, M., Mansoori, A., Pasha, S., Salloum, S., & Al-Rahmi, W. (2023). Factors indicating media dependency and online misinformation sharing in Jordan. Sustainability, 15(2), https://doi.org/10.3390/su15021474

Although social media is a vital platform in our life, it is blamed for poor efforts to moderate content included mis/disinformation and fake news. This could have an impact on its legacy and on sustainability in society in the long term. This resear... Read More about Factors indicating media dependency and online misinformation sharing in Jordan.

SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling (2022)
Journal Article
Shwedeh, F., Aburayya, A., Alfaisal, R., Adelaja, A., Ogbolu, G., Aldhuhoori, A., & Salloum, S. (2022). SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling. Sustainability, 14(23), https://doi.org/10.3390/su142316044

This study aims to identify why firms, specifically SMEs in the hospitality and tourism industry, downsized during the recent global economic distress caused by COVID-19. This study applied a quantitative methodology by distributing online questionna... Read More about SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling.

The adoption of metaverse systems: a hybrid SEM - ML method (2022)
Presentation / Conference
AlHamad, A., Alomari, K., Alshurideh, M., Al Kurdi, B., Salloum, S., & Al-Hamad, A. (2022, November). The adoption of metaverse systems: a hybrid SEM - ML method. Presented at 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives

Seeing high-tech medical devices from other nations and witnessing surgery to learn has become nearly unattainable. The pandemic of coronavirus disease 2019 (COVID-19) has created cross-border medical education challenging. Nevertheless, to cater to... Read More about The adoption of metaverse systems: a hybrid SEM - ML method.

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate. Electronics, 11(20), https://doi.org/10.3390/electronics11203291

Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the diff... Read More about Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate.

Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model. Electronics, 11(19), https://doi.org/10.3390/electronics11193197

The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integrat... Read More about Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model.

Determinants influencing the continuous intention to use digital technologies in Higher Education (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Al Sawafi, O., Al-Maroof, R., …Awad, A. (2022). Determinants influencing the continuous intention to use digital technologies in Higher Education. Electronics, 11(18),

There is increasing evidence that the lack of access to digital information and technologies is not widely considered in the educational sectors when focusing on the perceived experience, tutor quality and students’ satisfaction. In this paper, we re... Read More about Determinants influencing the continuous intention to use digital technologies in Higher Education.

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach. PLoS ONE, 17(8), e0272735. https://doi.org/10.1371/journal.pone.0272735

An Electronic Medical Record (EMR) has the capability of promoting knowledge and awareness regarding healthcare in both healthcare providers and patients to enhance interconnectivity within various government bodies, and quality healthcare services.... Read More about Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.

A systematic literature review on phishing email detection using natural language processing techniques (2022)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2022). A systematic literature review on phishing email detection using natural language processing techniques. IEEE Access, 10, 65703-65727. https://doi.org/10.1109/access.2022.3183083

Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant messages, and phone calls are widely used to launch such cyber-attacks... Read More about A systematic literature review on phishing email detection using natural language processing techniques.

A novel RBFNN-CNN model for speaker identification in stressful talking environments (2022)
Journal Article
Nassif, A., Alnazzawi, N., Shahin, I., Salloum, S., Hindawi, N., Lataifeh, M., & Elnagar, A. (2022). A novel RBFNN-CNN model for speaker identification in stressful talking environments. Applied Sciences, 12(10), https://doi.org/10.3390/app12104841

Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments. In this paper, we present an effective approach for enhancing the performance of speaker i... Read More about A novel RBFNN-CNN model for speaker identification in stressful talking environments.

Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach. IEEE Access, 10, 43421-43434. https://doi.org/10.1109/access.2022.3169285

Metaverse (MS) is a digital universe accessible through a virtual environment. It is established through the merging of virtually improved physical and digital reality. Metaverse (MS) offers enhanced immersive experiences and a more interactive lea... Read More about Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach.

SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. (2022)
Journal Article
Elareshi, M., Habes, M., Youssef, E., Salloum, S., Alfaisal, R., & Ziani, A. (2022). SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. Heliyon, 8(4), e09236. https://doi.org/10.1016/j.heliyon.2022.e09236

A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jo... Read More about SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid..