Masood Mansoori

Dr. Masood Mansoori is a Lecturer at the School of Professional Studies, UNSW Canberra. He holds a PhD in Engineering from Victoria University of Wellington, New Zealand (2017), a Master of Computer Science from University Malaya, Malaysia (2010), and a Bachelor of Computer Science & IT from Eastern Mediterranean University, Cyprus (2005).

• PhD: Engineering, Victoria University of Wellington (2017)
• MSc: Computer Science, University Malaya (2010)
• BSc: Computer Science & IT, Eastern Mediterranean University (2005)

Masood's research focuses on intrusion detection, deception systems, and honeypots. He designed YALIH and miniC, two client honeypots, and contributed to open-source projects like Cowrie Honeypot. His work spans browser-based geolocation attacks, IoT security, and malicious web behavior analysis.

Recent publications include studies on advanced persistent threats using genetic programming (2024), ransomware classification via particle swarm optimization (2022), and IoT attack clustering with autoencoders (2022). His research integrates machine learning and security analytics to address evolving cyber threats.

Scientific Awards:

• Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2014
• Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2013
• Victoria University of Wellington Scholarship, 2013
• CORE Scholarship, 2015

Masood has extensive experience in curriculum design, course coordination, and teaching cybersecurity, digital forensics, risk management, and network security. He currently works at D236, UNSW Canberra, Reid Campus.