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Outputs (45)

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.

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.