Outputs (91)

Blockchain for Cybersecurity in Cyber-Physical Systems (2023)
Book
Maleh, Y., Alazab, M., & Romdhani, I. (Eds.). (2023). Blockchain for Cybersecurity in Cyber-Physical Systems. Cham: Springer. https://doi.org/10.1007/978-3-031-25506-9

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems. It presents crucial issues in this field and provides a sample of recent advances and insights into the research pr... Read More about Blockchain for Cybersecurity in Cyber-Physical Systems.

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence (2022)
Book
Maleh, Y., Alazab, M., Tawalbeh, L., & Romdhani, I. (Eds.). (2022). Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence. Gistrup, Denmark: River Publishers

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromise... Read More about Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence.

Ontology-Based Linked Data to Support Decision Making within Universities (2022)
Journal Article
Ashour, G., Al-Dubai, A., Romdhani, I., & Alghazzawi, D. (2022). Ontology-Based Linked Data to Support Decision Making within Universities. Mathematics, 10(17), Article 3148. https://doi.org/10.3390/math10173148

In recent years, educational institutions worked hard to automate their work using more trending technologies that prove the success in supporting decision-making processes. Most the decisions in educational institutions rely on rating the academic r... Read More about Ontology-Based Linked Data to Support Decision Making within Universities.

Multicast DIS attack mitigation in RPL-based IoT-LLNs (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Multicast DIS attack mitigation in RPL-based IoT-LLNs. Journal of Information Security and Applications, 61, Article 102939. https://doi.org/10.1016/j.jisa.2021.102939

The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) was standardised by the IETF ROLL Working Group to address the routing issues in the Internet of Things (IoT) Low-Power and Lossy Networks (LLNs). RPL builds and maintains a Destination... Read More about Multicast DIS attack mitigation in RPL-based IoT-LLNs.

Artificial Intelligence and Blockchain for Future Cybersecurity Applications (2021)
Book
Maleh, Y., Baddi, Y., Alazab, M., Tawalbeh, L., & Romdhani, I. (Eds.). (2021). Artificial Intelligence and Blockchain for Future Cybersecurity Applications. Cham: Springer. https://doi.org/10.1007/978-3-030-74575-2

Presents the state-of-the-art and the latest discoveries in the field of Artificial Intelligence and Blockchain techniques and methods for future cybersecurity applications Proposes new models, practical solutions and technological advances related... Read More about Artificial Intelligence and Blockchain for Future Cybersecurity Applications.

Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things. International Journal of Critical Infrastructure Protection, 34, Article 100436. https://doi.org/10.1016/j.ijcip.2021.100436

Internet of Things (IoT) has emerged as a key component of all advanced critical infrastructures. However, with the challenging nature of IoT, new security breaches have been introduced, especially against the Routing Protocol for Low-power and Lossy... Read More about Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things.

Ontology-based Course Teacher Assignment within Universities (2020)
Journal Article
Ashour, G., Al-Dubai, A., & Romdhani, I. (2020). Ontology-based Course Teacher Assignment within Universities. International Journal of Advanced Computer Science and Applications, 11(7), https://doi.org/10.14569/ijacsa.2020.0110787

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within the... Read More about Ontology-based Course Teacher Assignment within Universities.

Big data and IoT-based applications in smart environments: A systematic review (2020)
Journal Article
Hajjaji, Y., Boulila, W., Farah, I. R., Romdhani, I., & Hussain, A. (2021). Big data and IoT-based applications in smart environments: A systematic review. Computer Science Review, 39, Article 100318. https://doi.org/10.1016/j.cosrev.2020.100318

This paper reviews big data and Internet of Things (IoT)-based applications in smart environments. The aim is to identify key areas of application, current trends, data architectures, and ongoing challenges in these fields. To the best of our knowled... Read More about Big data and IoT-based applications in smart environments: A systematic review.

Lightweight edge authentication for software defined networks (2020)
Journal Article
Almaini, A., Al-Dubai, A., Romdhani, I., Schramm, M., & Alsarhan, A. (2021). Lightweight edge authentication for software defined networks. Computing, 103, https://doi.org/10.1007/s00607-020-00835-4

OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While... Read More about Lightweight edge authentication for software defined networks.

An Ontological Model for Courses and Academic Profiles Representation: A case study of King Abdulaziz University (2020)
Presentation / Conference Contribution
Ashour, G., Al-Dubai, A., Romdhani, I., & Aljohani, N. (2020, June). An Ontological Model for Courses and Academic Profiles Representation: A case study of King Abdulaziz University. Presented at 2020 International Conference Engineering Technologies and Computer Science (EnT), Moscow, Russia

Educational data is growing continuously. This huge amount of data that is scattered and come from different resources with different formats usually is noisy, duplicated, inconsistent, and unorganized. These data can be more efficient and usable whe... Read More about An Ontological Model for Courses and Academic Profiles Representation: A case study of King Abdulaziz University.