Naghmeh Moradpoor Sheykhkanloo

naghmeh moradpoor sheykhkanloo

Dr Naghmeh Moradpoor Sheykhkanloo

Lecturer

Biography

Dr Naghmeh Moradpoor (PhD, MSc, BSc, CEH, FHEA, IEEE, MBCS) is a Lecturer in Cybersecurity and Networks, the program leader for MSc Advanced Security and Cybercrime and MSc Advanced Security & Digital Forensics (ASDF) Myanmar, 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 Fellow of the Higher Education Academy (FHEA), a BCS Professional member (MBCS), an IEEE member, 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 and inter-vehicular trust in autonomous vehicles using Distributed Ledger Technology (DLT). 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.

Naghmeh was also nominated for the Best Supervisor for Research Category by ENSA’s Student-Nominated Excellence Awards 2021.

Naghmeh 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. Naghmeh has been appointed as a Chair for the 14th International Conference on Security of Information and Networks (SIN) 2021. 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 14th 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, Journal of Computers & Networks (Elsevier), 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 three 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 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. Thirdly, Naghmeh is a DoS for a PhD project on Enhancing Trust in Automated Vehicles through the use of Distributed Ledger Technologies. Naghmeh and her students (Honours, MSc and PhD) have produced significant and ongoing joint research publications.

Dr Moradpoor is now RECRUITING highly self-motivated Ph.D. students with a particular focus on Cybersecurity Analysis & Countermeasures of Industrial Control Systems (ICS) and Critical National Infrastructure (CNI), for example on clean water supply systems and clean water treatment systems

- Anomaly Detection & Response in ICS/CNI
- Adversarial machine learning & defence for ICS/CNI
- Industrial Honeypots
- Blockchain for cybersecurity of ICS/CNI
- IoT Cyber Security with particular focus on Objective Functions

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

  • PC for IEEE Cyber Science joint & co-located conferences comprising CyberSA, Social Media, Cyber Security and Cyber Incident
  • Organiser & PC for Poster Competition in Cyber Security (PCiCS)-2018: “The Truth About Cyber Security in 7 Words” [sponsored by SICSA & SICSA NEXUS]
  • Organiser & PC for The First International Conference on Cyber Security and Digital Forensics (CSDF)
  • Organiser & PC for Poster Competition for Women in Cyber Security (PCWiCS)-2017: “The Truth About Cyber Security in 7 Words” [sponsored by SICSA]
  • Organiser & PC for 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 & PC for International Workshop on Securing IoT Networks (SITN) held in conjunction with The IEEE International Conference on Internet of Things (iThings-2017)
  • Chair, organiser & PC for Post Graduate Cyber Security (PGCS) symposium - 2016
  • Program chair, program co-chair, session chair & PC for SIN conference

 

Editorial Activity

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

 

Fellowships and Awards

  • Outstanding Woman in Cyber at the Scottish Cyber Awards 2017
  • PGCert - Fellow member of the Higher Education Academy (HEA)
  • Certified Ethical Hacker (CEH)

 

Grant Reviewer

  • Reviewer for SICSA Early Career Researcher Exchanges (PECE) applications

 

Invited Speaker

  • Invited speaker for IoT 2018
  • 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 Risk and Contingency Management (IJRCM)
  • IEEE Access Journal
  • Journal of Computers & Security (Elsevier)
  • Journal of Computers & Networks (Elsevier)
  • Electronics, Symmetry, Information (MDPI) Journals
  • Security and Communication Networks (SCN)
  • Journal of Information Security and Applications (Elsevier)
  • Journal of Cyber Security Technology
  • Complex Adaptive Systems Conference
  • The Scottish Informatics & Computer Science Alliance (SICSA) - PhD Conference
  • Security of Information and Networks (SIN) Conferences
  • Journal of Optical Switching and Networking (Elsevier/OSN)
  • Women in Computing and Informatics (WCI) Conference

 

Date


29 results

Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System

Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Tan, Z. (2021)
Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System  . Ad hoc networks, 120, https://doi.org/10.1016/j.adhoc.2021.102590
Industrial Control Systems (ICS) are hardware, network, and software, upon which a facility depends to allow daily operations to function. In most cases society takes the oper...

Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems

Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Porcel-Bustamante, J. (2021)
Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems. Symmetry, 13(3), https://doi.org/10.3390/sym13030519
Industrial Control Systems are an essential part of our daily lives and can be found in industries such as oil, utilities, and manufacturing. Rapid growth in technology has in...

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. (2020)
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN48605.2020.9207462
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...

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...

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...

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