Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks
Journal Article
Alsarhan, A., Alauthman, M., Alshdaifat, E., Al-Ghuwairi, A., & Al-Dubai, A. (in press)
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks. Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-021-02963-x
Machine Learning (ML) driven solutions have been widely used to secure wireless communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing works, thi...
Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset
Journal Article
Foley, J., Moradpoor, N., & Ochen, H. (2020)
Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset. Security and Communication Networks, 2020, 1-17. https://doi.org/10.1155/2020/2804291
One of the important features of Routing Protocol for Low-Power and Lossy Networks (RPL) is Objective Function (OF). OF influences an IoT network in terms of routing strategie...
A Lightweight and Efficient Digital Image Encryption Using Hybrid Chaotic Systems for Wireless Network Applications
Journal Article
Almalkawi, I. T., Halloush, . R., Alsarhan, A., Al-Dubai, A., & Al-karaki, J. N. (2019)
A Lightweight and Efficient Digital Image Encryption Using Hybrid Chaotic Systems for Wireless Network Applications. Journal of Information Security and Applications, 49, https://doi.org/10.1016/j.jisa.2019.102384
Due to limited processing capabilities and other constraints of most wireless networks, many existing security algorithms do not consider the network efficiency. This is becau...
PLC Memory Attack Detection and Response in a Clean Water Supply System
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
PLC Memory Attack Detection and Response in a Clean Water Supply System. International Journal of Critical Infrastructure Protection, 26, https://doi.org/10.1016/j.ijcip.2019.05.003
Industrial Control Systems (ICS) are frequently used in manufacturing and critical infrastructures like water treatment, chemical plants, and transportation schemes. Citizens ...
Decrypting Live SSH Traffic in Virtual Environments
Journal Article
Mclaren, P., Russell, G., Buchanan, W. J., & Tan, Z. (2019)
Decrypting Live SSH Traffic in Virtual Environments. Digital Investigation, 29, 109-117. https://doi.org/10.1016/j.diin.2019.03.010
Decrypting and inspecting encrypted malicious communications may assist crime detection and prevention. Access to client or server memory enables the discovery of artefacts re...
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
Conference Proceeding
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2019)
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. In 2018 IEEE International Conference on Big Data (Big Data)https://doi.org/10.1109/BigData.2018.8621922
Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exis...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018. , (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...
Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things
Conference Proceeding
Semedo, F., Moradpoor, N., & Rafiq, M. (2018)
Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. In SIN '18 Proceedings of the 11th International Conference on Security of Information and Networkshttps://doi.org/10.1145/3264437.3264438
The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Position...
Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network
Conference Proceeding
Asif, R., Haithem, M., & Buchanan, W. J. (2018)
Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network. In Advanced Photonics Networkshttps://doi.org/10.1364/networks.2018.neth2f.3
We report a high capacity Quantum-to-the-Home (QTTH) network in a spatialdivision-multiplexing (SDM) network utilizing 7-core multicore fiber (MCF). Aggregate secure key rates...