- Hala Ali won national recognition for her research on detecting illegal 3D printing activities.
- She developed SliceSnap, a forensic framework that analyzes memory data from slicing software like Ultimaker Cura.
- Her work helps uncover deleted or hidden files used to create illegal or untraceable 3D-printed weapons.
- The research, supported by Irfan Ahmed and Andrew Case, highlights a growing cybersecurity threat.
In a world where 3D printing is revolutionizing industries from healthcare to manufacturing, a new threat has quietly emerged - 3D printing cybercrime detection is becoming one of the most critical challenges in cybersecurity. For Virginia Commonwealth University doctoral student Hala Ali, this isn’t just theory; it’s her mission. Ali recently earned national recognition at the 25th annual Digital Forensics Research Conference in Chicago for her pioneering research paper, “Leveraging Memory Forensics to Investigate and Detect Illegal 3D Printing Activities.”
Ali, a Ph.D. candidate in the College of Engineering, has been exploring how digital forensics tools can expose illicit 3D printing operations—particularly those creating untraceable weapons or restricted components. Her research introduces SliceSnap, an innovative forensic framework designed to detect illegal 3D printing activities through memory analysis of slicing software.
“3D printing is the process of creating a physical object from a digital design, but that process can be abused,” Ali explained. “My goal was to build a tool that helps investigators uncover misuse.”
SliceSnap targets slicing applications such as Ultimaker Cura, a widely used program that converts 3D models into G-code instructions. These instructions tell printers exactly how to construct objects, layer by layer. In the wrong hands, these codes can be modified to produce dangerous or disguised weapons. Ali’s 3D printing cybercrime detection model helps extract and analyze such files—even after criminals delete them.
The framework was co-developed with Dr. Irfan Ahmed, associate professor of computer science at VCU, and Andrew Case, a cybersecurity expert at Volexity. Their work has been published in Forensic Science International: Digital Investigation, positioning Ali among the rising leaders in forensic cybersecurity.
Ali’s passion for 3D printing cybercrime detection dates back to her early studies in cyberinformation security in India. “I realized cybersecurity is something every person needs,” she said. Her current research began in 2024 as a conference poster before evolving into a full-fledged forensic study.
The implications of her work go far beyond academia. As 3D printers become cheaper and more accessible, the ability to trace illegal printing operations will be vital for law enforcement. With 3D printing cybercrime detection emerging as a fast-growing field, Ali’s contribution could shape the future of digital forensics—and make technology safer for everyone.
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