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All Outputs (44)

A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats (2025)
Journal Article
Kotb, H. M., Gaber, T., AlJanah, S., Zawbaa, H. M., & Alkhathami, M. (2025). A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats. Scientific Reports, 15, Article 207. https://doi.org/10.1038/s41598-024-84673-w

Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to... Read More about A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.

An investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks (2025)
Journal Article

The widespread use of wireless networks to transfer an enormous amount of sensitive information has caused a plethora of vulnerabilities and privacy issues. The management frames, particularly authentication and association frames, are vulnerable to... Read More about An investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks.

How universities teach cybersecurity courses online: a systematic literature review (2024)
Journal Article
Ahmed, A., Watterson, C., Alhashmi, S., & Gaber, T. (in press). How universities teach cybersecurity courses online: a systematic literature review. #Journal not on list, 6, Article 1499490. https://doi.org/10.3389/fcomp.2024.1499490

Introduction: Distance learning has seen a significant increase as educational institutions have shifted toward offering online courses. Although some institutions quickly adapted, many struggled to modify traditional materials for online learners. T... Read More about How universities teach cybersecurity courses online: a systematic literature review.

Robust thermal face recognition for law enforcement using optimized deep features with new rough sets-based optimizer (2024)
Journal Article
Gaber, T., Nicho, M., Ahmed, E., & Hamed, A. (2024). Robust thermal face recognition for law enforcement using optimized deep features with new rough sets-based optimizer. #Journal not on list, 85, Article 103838. https://doi.org/10.1016/j.jisa.2024.103838

In the security domain, the growing need for reliable authentication methods highlights the importance of
thermal face recognition for enhancing law enforcement surveillance and safety especially in IoT applications.
Challenges like computational r... Read More about Robust thermal face recognition for law enforcement using optimized deep features with new rough sets-based optimizer.

Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach (2024)
Journal Article
Salloum, S., Shaalan, K., Alfaisal, R., Salloum, A., & Gaber, T. (2024). Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach. #Journal not on list, https://doi.org/10.1109/assic60049.2024.10507994

The educational realm has undergone profound transformations due to technological advancements, evolving from conventional classrooms to digital platforms, such as online learning modules and virtual simulations. Within this context, ChatGPT, an inno... Read More about Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach.

ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques (2024)
Journal Article
Eltoukhy, M. M., Gaber, T., Almazroi, A. A., & Mohamed, M. F. (in press). ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques. PeerJ Computer Science, 10, e2001. https://doi.org/10.7717/peerj-cs.2001

This study focuses on addressing computational limits in smartphones by proposing an efficient authentication model that enables implicit authentication without requiring additional hardware and incurring less computational cost. The research explore... Read More about ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques.

FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network (2024)
Journal Article
Ali Almazroi, A., A. Alqarni, M., A. Al-Shareeda, M., H. Alkinani, M., Atallah Almazroey, A., & Gaber, T. (2024). FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network. Internet of Things, 25, https://doi.org/10.1016/j.iot.2024.101096

Emerging technology known as intelligent transportation systems allows for seamless two-way communication between moving vehicles and stationary infrastructure. Therefore, core security services in a vehicular network consist of encrypting and trusti... Read More about FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network.

Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks (2023)
Journal Article
Gaber, T., Awotunde, J. B., Torky, M., Ajagbe, S. A., Hammoudeh, M., & Li, W. (2023). Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks. Internet of Things, 24, 100977. https://doi.org/10.1016/j.iot.2023.100977

Combining the metaverse and the Internet of Things (IoT) will lead to the development of diverse, virtual, and more advanced networks in the future. The integration of IoT networks with the metaverse will enable more meaningful connections between th... Read More about Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks.

A novel CNN gap layer for growth prediction of palm tree plantlings (2023)
Journal Article
Kumar, T. A., Rajmohan, R., Adeola Ajagbe, S., Gaber, T., Zeng, X.-J., & Masmoudi, F. (in press). A novel CNN gap layer for growth prediction of palm tree plantlings. PloS one, 18(8), e0289963. https://doi.org/10.1371/journal.pone.0289963

Monitoring palm tree seedlings and plantlings presents a formidable challenge because of the microscopic size of these organisms and the absence of distinguishing morphological characteristics. There is a demand for technical approaches that can prov... Read More about A novel CNN gap layer for growth prediction of palm tree plantlings.

An improved long short term memory network for intrusion detection (2023)
Journal Article
Awad, A. A., Ali, A. F., & Gaber, T. (in press). An improved long short term memory network for intrusion detection. PloS one, 18(8), e0284795. https://doi.org/10.1371/journal.pone.0284795

Over the years, intrusion detection system has played a crucial role in network security by discovering attacks from network traffics and generating an alarm signal to be sent to the security team. Machine learning methods, e.g., Support Vector Machi... Read More about An improved long short term memory network for intrusion detection.

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.

Efficient thermal face recognition method using optimized curvelet features for biometric authentication (2023)
Journal Article
Ali, M. A. S., Meselhy Eltoukhy, M., Rajeena P. P., F., & Gaber, T. (in press). Efficient thermal face recognition method using optimized curvelet features for biometric authentication. PloS one, 18(6), e0287349. https://doi.org/10.1371/journal.pone.0287349

Biometric technology is becoming increasingly prevalent in several vital applications that substitute traditional password and token authentication mechanisms. Recognition accuracy and computational cost are two important aspects that are to be consi... Read More about Efficient thermal face recognition method using optimized curvelet features for biometric authentication.

Implications of regulatory policy for building secure agile software in Nigeria: A grounded theory (2023)
Journal Article
Ardo, A. A., A. Ardo, A. A., Bass, J. M., & Gaber, T. (2023). Implications of regulatory policy for building secure agile software in Nigeria: A grounded theory. The Electronic Journal of Information Systems in Developing Countries, 89(6), https://doi.org/10.1002/isd2.12285

Nigeria is ranked second worldwide, after India, in reported incidences of cyberattacks. Attackers usually exploit vulnerabilities in software which may not have adequately considered security features during the development process. Agile methods ha... Read More about Implications of regulatory policy for building secure agile software in Nigeria: A grounded theory.

Deep churn prediction method for telecommunication industry (2023)
Journal Article
Saha, L., Tripathy, H., Gaber, T., El-Gohary, H., & El-kenawy, E. (2023). Deep churn prediction method for telecommunication industry. Sustainability, 15(5), 4543

Being able to predict the churn rate is the key to success for the telecommunication industry. It is also important for the telecommunication industry to obtain a high profit. Thus, the challenge is to predict the churn percentage of customers with h... Read More about Deep churn prediction method for telecommunication industry.

Optimized and efficient image-based IoT malware detection method (2023)
Journal Article
El-Ghamry, A., Gaber, T., Mohammed, K., & Hassanien, A. (2023). Optimized and efficient image-based IoT malware detection method. Electronics, 12(3), 708. https://doi.org/10.3390/electronics12030708

With the widespread use of IoT applications, malware has become a difficult and sophisticated threat. Without robust security measures, a massive volume of confidential and classified data could be exposed to vulnerabilities through which hackers cou... Read More about Optimized and efficient image-based IoT malware detection method.

KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme (2023)
Journal Article
Mukherjee, P., Pradhan, C., Tripathy, H., & Gaber, T. (2023). KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme. Electronics, 12(3), 493. https://doi.org/10.3390/electronics12030493

Today’s digital world necessitates the adoption of encryption techniques to ensure secure peer-to-peer communication. The sole purpose of this paper is to conglomerate the fundamentals of Blockchain, AI (Artificial Intelligence) and DNA (Deoxyribonuc... Read More about KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme.

Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey (2022)
Journal Article
Mkaouer, M., Gaber, T., & Dagdia, Z. (2022). Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey. Applied Computational Intelligence and Soft Computing, 2(2), 173-194. https://doi.org/10.3934/aci.2022010

In late December 2019, the World Health Organization (WHO) announced the outbreak of a new type of coronavirus, named the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19. The deadliness of the virus has forced gov... Read More about Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey.

A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms (2022)
Journal Article
A. Mohamed, E., Gaber, T., Karam, O., & Rashed, E. A. (2022). A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms. PLoS ONE, 17(10), https://doi.org/10.1371/journal.pone.0276523

Breast cancer is the second most frequent cancer worldwide, following lung cancer and the fifth leading cause of cancer death and a major cause of cancer death among women. In recent years, convolutional neural networks (CNNs) have been successfully... Read More about A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms.

A novel drone-station matching model in smart cities based on strict preferences (2022)
Journal Article
Nath, D., Bandyopadhyay, A., Rana, A., Gaber, T., & Hassanien, A. (2022). A novel drone-station matching model in smart cities based on strict preferences. Unmanned Systems, 1-11. https://doi.org/10.1142/s2301385023500115

There has been a considerable increase in the use of drones, or unmanned aerial vehicles (UAVs), in recent times, for a wide variety of purposes such as security, surveillance, delivery, search and rescue operations, penetration of inaccessible or un... Read More about A novel drone-station matching model in smart cities based on strict preferences.