All Outputs (12)

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.

Comparing Object Recognition Models and Studying Hyperparameter Selection for the Detection of Bolts (2023)
Conference Proceeding
Bolton, T., Bass, J., Gaber, T., & Mansouri, T. (2023). Comparing Object Recognition Models and Studying Hyperparameter Selection for the Detection of Bolts. In Natural Language Processing and Information Systems (186-200). https://doi.org/10.1007/978-3-031-35320-8_13

The commonly-used method of bolting, used to secure parts of apparatus together, relies on the bolts having a sufficient preload force in order to the ensure mechanical strength. Failing to secure bolted connections to a suitable torque rating can ha... Read More about Comparing Object Recognition Models and Studying Hyperparameter Selection for the Detection of Bolts.

Innovative Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes (2023)
Journal Article
Sung, T., Lee, C., Gaber, T., & Nassar, H. (2023). Innovative Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes. Wireless Communications and Mobile Computing, 2023, https://doi.org/10.1155/2023/9870345

A Data Brokering Architecture to Guarantee Nonfunctional Requirements in IoT Applications (2023)
Conference Proceeding
Mansouri, T., Bass, J., Gaber, T., Wright, S., & Scorey, B. (2023). A Data Brokering Architecture to Guarantee Nonfunctional Requirements in IoT Applications. In Big Data Technologies and Applications (75-84). https://doi.org/10.1007/978-3-031-33614-0_6

IoT sensors capture different aspects of the environmental data and generate high throughput data streams. To harvest potential values from these sensors, a system fulfilling the big data requirements should be designed. In this work, we reviewed the... Read More about A Data Brokering Architecture to Guarantee Nonfunctional Requirements in IoT Applications.

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.