All Outputs (12)

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 comparison of deep learning techniques for corrosion detection (2022)
Conference Proceeding
Bolton, T., Bass, J., & Gaber, T. (2022). A comparison of deep learning techniques for corrosion detection. . https://doi.org/10.1007/978-3-031-20601-6_18

Corrosion - degradation in metal structures - is problematic, expensive to rectify, and can be unpredictable in the rate at which it spreads. Traditional preventative maintenance techniques are complemented by human visual inspection, in turn complem... Read More about A comparison of deep learning techniques for corrosion detection.

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.

A blockchain protocol for authenticating space communications between satellites constellations (2022)
Journal Article
Torky, M., Gaber, T., Goda, E., Snasel, V., & Hassanien, A. (2022). A blockchain protocol for authenticating space communications between satellites constellations. Aerospace, 9(9), https://doi.org/10.3390/aerospace9090495

Blockchain has found many applications, apart from Bitcoin, in different fields and it has the potential to be very useful in the satellite communications and space industries. Decentralized and secure protocols for processing and manipulating space... Read More about A blockchain protocol for authenticating space communications between satellites constellations.

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment (2022)
Journal Article
Mishra, S., Jena, L., Tripathy, H., & Gaber, T. (2022). Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment. PLoS ONE, 17(8), https://doi.org/10.1371/journal.pone.0272383

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This recent trend enables sensors to track required parameters and store accumulated data in cloud storage,... Read More about Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.

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.

Injection attack detection using machine learning for smart IoT applications (2022)
Journal Article
Gaber, T., El-Ghamry, A., & Hassanien, A. (2022). Injection attack detection using machine learning for smart IoT applications. Physical Communication, 52, https://doi.org/10.1016/j.phycom.2022.101685

Smart cities are a rapidly growing IoT application. These smart cities mainly rely on wireless sensors to connect their different components (smart devices) together. Smart cities rely on the integration of IoT and 5G technologies, and this has creat... Read More about Injection attack detection using machine learning for smart IoT applications.

Automatic face mask detection system in public transportation in smart cities using IoT and deep learning (2022)
Journal Article
Kumar, T., Rajmohan, R., Pavithra, M., Ajagbe, S., Hodhod, R., & Gaber, T. (2022). Automatic face mask detection system in public transportation in smart cities using IoT and deep learning. Electronics, 11(6), 904. https://doi.org/10.3390/electronics11060904

The World Health Organization (WHO) has stated that the spread of the coronavirus (COVID-19) is on a global scale and that wearing a face mask at work is the only effective way to avoid becoming infected with the virus. The pandemic made governments... Read More about Automatic face mask detection system in public transportation in smart cities using IoT and deep learning.

An empirical investigation of agile information systems development for cybersecurity (2022)
Journal Article
Ardo, A., Bass, J., & Gaber, T. (2022). An empirical investigation of agile information systems development for cybersecurity. Lecture notes in business information processing (Internet), 567-581. https://doi.org/10.1007/978-3-030-95947-0_40

Cybersecurity has been identified as a major challenge confronting the digital world, neglecting cybersecurity techniques during software design and development increases the risk of malicious attacks. Thus, there is a need to make security an inte... Read More about An empirical investigation of agile information systems development for cybersecurity.

Towards secure agile software development process: a practice-based model (2022)
Conference Proceeding
Ardo, A., Bass, J., & Gaber, T. (2022). Towards secure agile software development process: a practice-based model. In 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). https://doi.org/10.1109/SEAA56994.2022.00031

Agile methods are a well-established paradigm in the software development field. Agile adoption has contributed to improving software quality. However, software products are vulnerable to security challenges and susceptible to cyberattacks. This stud... Read More about Towards secure agile software development process: a practice-based model.

Deep learning model for fully automated breast cancer detection system from thermograms (2022)
Journal Article
Mohamed, E., Rashed, E., Gaber, T., & Karam, O. (2022). Deep learning model for fully automated breast cancer detection system from thermograms. PLoS ONE, 17(1), e0262349. https://doi.org/10.1371/journal.pone.0262349

Breast cancer is one of the most common diseases among women worldwide. It is considered one of the leading causes of death among women. Therefore, early detection is necessary to save lives. Thermography imaging is an effective diagnostic technique... Read More about Deep learning model for fully automated breast cancer detection system from thermograms.