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Outputs (62)

A Novel Practice-Based Process Model for Secure Agile Software Development (2024)
Thesis
Ardo, A. (2024). A Novel Practice-Based Process Model for Secure Agile Software Development. (Thesis). University of Salford

Nigeria is ranked second globally after India in reported incidences of cyberattacks. Attackers usually exploit vulnerabilities in software which may not have considered security features during the development process. Agile methodologies are a well... Read More about A Novel Practice-Based Process Model for Secure Agile Software Development.

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.

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.

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., & 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.