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27 results

Insider Threat Detection Using Supervised Machine Learning Algorithms on an Extremely Imbalanced Dataset

Journal Article
Moradpoor, N., & Hall, A. (2020)
Insider Threat Detection Using Supervised Machine Learning Algorithms on an Extremely Imbalanced Dataset. International Journal of Cyber Warfare and Terrorism, 10(2), https://doi.org/10.4018/IJCWT.2020040101
An insider threat can take on many forms and fall under different categories. This includes: malicious insider, careless/unaware/uneducated/naïve employee, and third-party con...

Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features

Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (in press)
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features
Industrial Control Systems have become a priority domain for cybersecurity practitioners due to the number of cyber-attacks against those systems has increased over the past f...

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...

WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels

Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2019)
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels. In Proceedings of 15th IEEE International Conference on Control & Automation (ICCA)https://doi.org/10.1109/ICCA.2019.8899564
Industrial Control Systems (ICS) have faced a growing number of threats over the past few years. Reliance on isolated controls networks or air-gapped computers is no longer a ...

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 ...

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...

Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases

Conference Proceeding
Clavie, B., & Moradpoor, N. (in press)
Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases. In Proceedings of posters presented at 10th ACM Conference on Web Science
This article explores a perceived bias between two British reddit communities dedicated to discussing British politics.We analyse the popular sources favoured by each communit...
5 results

Critical Infrastructure Protection & ICT Gender Equality (Women in IT) Guest Speaker's Travel Grant

2018 - 2018
1st event: a speaker for the Cyber Security Conference (Critical Infrastructure Protection) (200 words): Industrial Control Systems(ICS) are widely used in critical infrastructure such as nuclear pow...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £600

The truth about cybersecurity in 7 words – 2018 (poster competition in cybersecurity)

2018 - 2018
In a recent report by International Information System Security Certification Consortium (ISC)2, it is estimated there will be a global shortfall of 1.5 million cybersecurity professionals by 2019, so...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £500

The truth about cybersecurity in 7 words (poster competition for women in cybersecurity)

2017 - 2017
This event aims to inspire women into cybersecurity roles by bringing together the cyber women from across the UK in the form of a poster competition. The event will be held in collaboration with Edin...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £500

Morgan Stanley: Security Analytics for Insider Threat Monitoring

2017 - 2017
Morgan Stanley is seeking a data science resource / support to augment its Technology Information Risk Team within the Technology and Data division. The key challenge involves an investigation of the ...
Funder: Data Lab | Value: £19,974

Post Graduate Cyber Security (PGCS) symposium

2016 - 2016
This first international symposium on Post Graduate Cyber Security (PGCS) will bring together postgraduate research students working in cybersecurity areas. It is a forum for early researchers to pres...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £800

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