Naghmeh Moradpoor Sheykhkanloo

naghmeh moradpoor sheykhkanloo

Dr Naghmeh Moradpoor Sheykhkanloo

Lecturer in Cybersecurity and Networks; Program Leader for MSc Advanced Security & Cybercrime; Winner of Outstanding Woman in Cyber (Scottish Cyber Awards 2017)

Biography

Dr Naghmeh Moradpoor (PhD, MSc, BSc, CEH, FHEA, MBCS) is a Lecturer in Cybersecurity and Networks, the program leader for MSc Advanced Security and Cybercrime, a core member of the Centre for Distributed Computing, Networking and Cybersecurity, and an active member of The Cyber Academy in the School of Computing (SoC) at Edinburgh Napier University. She is a Certified Ethical Hacker (CEH) and an active researcher since 2009. Naghmeh has a research background in machine learning for cybersecurity as well as next generation broadband access networks. This includes Industrial Control System (ICS) & Critical Infrastructure Protection (CIP) security analysis & countermeasures, detection and classification of various cybersecurity attacks for computer networks, data analytics & decision support for cybersecurity, Intrusion Detection and Prevention Systems (IDS/IPS) for Internet of Things (IoT), cyberbullying detection and prevention, and forensic similarity hashes. She holds a PhD degree (2013) in Computer Systems and Networks from Ulster University and MSc in Computer Systems and Networks (2009) from Greenwich University, UK.

Naghmeh was awarded Outstanding Woman in Cyber at the Scottish Cyber Awards 2017. These Awards are a highly prestigious and flagship event and the first of its kind in Scotland where the best of the best in cybersecurity are being recognised and awarded for their passion, dedication and hard work raising standards in both industry and academia.

She has actively participated in leading and organising many cybersecurity events. This includes: Post Graduate Cyber Security (PGCS’16) symposium sponsored by SICSA, Poster Competition for Women in Cyber Security (PCWiCS’17) sponsored by SICSA, Poster Competition in Cyber Security (PCiCS’18) sponsored by SICSA, The First International Conference on Cyber Security and Digital Forensics (CSDF’18) sponsored by SICSA NEXUS, and The First/Second International Workshop on Securing IoT Networks (SITN’17 & ‘18). Naghmeh has been an invited speaker for Women in Science Festival - Dundee (2015), Critical Infrastructure Protection in SEE-IT Summit (Cybersecurity track) - Serbia (2018) sponsored by SICSA and SICSA NEXUS, and Gender Equality & Women in Cybersecurity in SEE-IT Summit - Serbia (2018) sponsored by SICSA and SICSA NEXUS. She has been invited to serve as a program Chair, technical program committee member and a session Chair of major international conferences and an editorial board as well as a reviewer for prestigious journals since 2013. Some of these conferences and journals include: 7th to 11th international conference on Security of Information and Networks (SIN), Special Session on Industrial Automation and Process System’s Security (ISIE-IAPSS’17) in conjunction with IEEE ISIE’17, The First/ Second International Workshop on Secure Smart Societies in Next Generation Networks (SECSOC’17 & ‘18) in conjunction with IEEE iThings’17 & ‘18. Journal of Information Security and Applications (Elsevier), Journal of Computers & Security (Elsevier), Journal of Cyber Security Technology, IEEE Access Journal, and Journal of Optical Switching and Networking (Elsevier).

In addition, Naghmeh has been involved in supervising Honours, summer interns, MSc, and PhD students since she achieved her PhD in 2013. Naghmeh is a Director of Studies (DoS) for two collaborative PhDs. The first one is a PhD research work on ICS & CIP security analysis and countermeasures using machine learning with a focus on clean water supply systems. It is an ongoing and successful collaborative research work between Edinburgh Napier University (School of Computing) and Edinburgh Napier University (School of Engineering & Built Environment). Secondly, Naghmeh acts as a DoS for a PhD project on cyberbullying detection using victim’s sentiment analysis in social media. It is also a current collaborative and successful research work between Edinburgh Napier University (School of Computing) and King Abdulaziz University in the Kingdom of Saudi Arabia. Naghmeh and her students (Honours, MSc and PhD) have produced significant and ongoing joint research publications.

Research Areas

Esteem

Advisory panels and expert committees or witness

  • Athena SWAN Champion for School of Computing (SoC), Edinburgh Napier University
  • Memeber of Edinburgh Napier University, School of Computing (SoC), Athena SWAN Self-Assessment Team

 

Conference Activity

  • Program Chair for SIN 2018
  • Organiser for The First International Conference on Cyber Security and Digital Forensics (CSDF)
  • Organiser of Poster Competition in Cyber Security (PCiCS)-2018: “The Truth About Cyber Security in 7 Words” [sponsored by SICSA & SICSA NEXUS]
  • Organiser of Special Session on Industrial Automation and Process System’s Security (ISIE-IAPSS 2017) held in conjunction with The IEEE International Symposium on Industrial Electronics (ISIE’17)
  • Organiser of International Workshop on Securing IoT Networks (SITN) held in conjunction with The IEEE International Conference on Internet of Things (iThings-2017)
  • Program Co-Chair for SIN 2017
  • Organiser of Poster Competition for Women in Cyber Security (PCWiCS)-2017: “The Truth About Cyber Security in 7 Words” [sponsored by SICSA]
  • Chair and lead organiser of Post Graduate Cyber Security (PGCS) symposium - 2016
  • Session Chair of Security of Information and Networks (SIN) - 2014

 

Editorial Activity

  • Journal of Cyber Security Technology, Special Issue: Secure Smart Society in Next Generation Networking Paradigm
  • Journal of Cyber Security Technology

 

Invited Speaker

  • Invited speaker for Critical Infrastructure Protection in SEE-IT Summit (Cybersecurity track) - Serbia (2018) sponsored by SICSA and SICSA NEXUS
  • Invited speaker for Gender Equality & Women in Cybersecurity in SEE-IT Summit - Serbia (2018) sponsored by SICSA and SICSA NEXUS
  • Invited speaker for Women In Science Festival - Dundee (2015)

 

Media Activity

  • KU Big Read project, representing School of Computing, Edinburgh Napier University
  • Cyber STEM Event for P7 Girls - The Cyber Academy, Edinburgh Napier University

 

Reviewing

  • Journal of Information Security and Applications
  • Journal of Risk and Contingency Management (IJRCM)
  • Journal of Cyber Security Technology
  • Security of Information and Networks (SIN) Conferences
  • Complex Adaptive Systems Conference
  • The Scottish Informatics & Computer Science Alliance (SICSA) - PhD Conference
  • Journal of Optical Switching and Networking (Elsevier/OSN)
  • Women in Computing and Informatics (WCI) Conference

 

Date


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...

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