Skip to main content

2022 Proceedings

The 2022 ADFSL Conference Proceedings

View the ADFSL Conference on Digital Forensics, Security and Law, 2022 website

Papers Monday, July 25
Subscribe to RSS Feed
	A Lightweight Reliably Quantified Deepfake Detection Approach Tianyi Wang, The University of Hong Kong, Department of Computer Science Kam Pui Chow, The University of Hong Kong, Department of Computer Science
	A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation Jyoti Fakirah, School of Science, Edith Cowan University Lauhim Mahfuz Zishan, School of Science, Edith Cowan University Roshni Mooruth, School of Science, Edith Cowan University Michael L. Johnstone, Security Research Institute, School of Science, Edith Cowan University, Cyber Security Cooperative Research Centre Wencheng Yang, Security Research Institute, School of Science, Edith Cowan University, Cyber Security Cooperative Research Centre
	Anatomy of an Internet Hijack And Interception Attack: A Global And Educational Perspective Ben A. Scott, Edith Cowan University Michael N. Johnstone, Edith Cowan University Patryk Szewczyk, Edith Cowan University
	Detection of Overlapping Passive Manipulation Techniques in Image Forensics Gianna S. Lint, Purdue University Umit Karabiyik, Purdue University
	Digital Forensics for Mobility as A Service Platform: Analysis of Uber Application on iPhone and Cloud Nina Matulis, Purdue University Umit Karabiyik, Purdue University
	Human-Controlled Fuzzing With AFL Maxim Grishin, Bachelor of Information Security, MEPhI; Moscow, Russia Igor Korkin, PhD, Security Researcher; Moscow, Russia
	Microsoft Defender Will Be Defended: Memoryranger Prevents Blinding Windows Av Denis Pogonin, Bachelor of Information Security, MEPhI; Moscow, Russia Igor Korkin, PhD, Security Researcher; Moscow, Russia
	Smart Home Forensics: Identifying Ddos Attack Patterns on Iot Devices Samuel Ho, Purdue University Hope Greeson, Purdue University Umit Karabiyik, Purdue University
	The Amorphous Nature of Hackers: An Exploratory Study Kento Yasuhara, University of New Haven Daniel Walnycky, University of New Haven Ibrahim Baggili, University of New Haven Ahmed Alhishwan, University of New Haven
	Timestamp Estimation From Outdoor Scenes Tawfiq Salem, Department of Computer Information Technology, Purdue University Jisoo Hwang, Department of Computer and Information Technology, Purdue University Rafael Padilha, Artificial Intelligence Lab, Institute of Computing, University of Campinas