Dr Muhammad Ikram is a Senior Lecturer in Cybersecurity at the School of Computing, Macquarie University. He is a member of the Information Security and Privacy (ISP) group at Macquarie University and a Project Lead at Macquarie Cybersecurity Hub (MCHUB). Before joining Macquarie University, he was a joint postdoctoral research fellow at the University of Michigan (USA) and Macquarie University.

He completed his PhD in Electrical Engineering and Telecommunication from UNSW, Master in Information and Computer Engineering from Ajou University (Korea), and Bachelor in Computer Engineering from the University of Engineering and Technology Peshawar (Pakistan).

Ikram's current research interests are focused on data-driven analysis of privacy and security issues in mobile and Web applications. He has been thinking and working to build techniques leveraging machine-learning algorithms to fight against security and privacy issues and fraud detection targeting online services.

Ikram has published more than 30 high-quality publications in top-notched conferences（Usenix Security [A*-ranked, 1], NDSS [A*-ranked, 1], WWW [A*-ranked, 1, 2], IMC [A-ranked, 1], PETS [A-ranked, 1], and AsiaCCS [A-ranked, 1]) and journals (ACM Transaction on Privacy and Security [1, 2], ACM Communications, and The British Medical Journal [Impact Factor: 30.223, 1]. Awarded The Best Paper Award by ACM Asia Computer Communication Security (AsiaCCS) in 2019 and The Outstanding Paper Award by European Alliance for Innovation (EAI) Mobile and Ubiquitous Systems (Mobiquitous) in 2021. 

Ikram's has been regularly interviewed by news and media outlets (e.g., The Guardian) and his work has been featured in top security and privacy magazines. For instance, his work on Web resource loading has been featured by more than 50 news and media outlets reaching to ~11 million audiences. 

Ikram is serving as a technical program committee member (WWW [A*-ranked], PETS [A-ranked]), reviewer (CCS [A*-ranked], PETS), and organizer (PETS) of top security and privacy conferences. 

System and Network Security 

• Trustworthiness of mobile VPN systems [1], Microsegmentation [1],  iOS apps assessment [1]

Measurement of Security and Privacy Issues in Web and Mobile Platforms

• Web Platform: Tracking prevention [1, 2], risks of resource loading from implicitly trusted resources [1, 2], Vulnerabilities [1]
• Mobile Platform: iOS apps assessment [1], Mobile health apps [1, 2]

Vulnerabilities and Malware Detection

• Longitudinal analysis of malicious activities [1], DaDiDroid [1]