Umit Karabiyik, assistant professor of computer and information technology, is researching ways for people to limit the data they share with law enforcement. His research could help preserve security and privacy while reducing the vast quantity of data that law enforcement agencies have to manage.

Since 2018, scientists in Purdue Polytechnic’s strategic research impact areas have been working to solve challenges in cybersecurity and critical infrastructure that affect global economics, security and health. Faculty members in the Holistic Safety and Security team are building on research that has received national attention and funding.

Inspired by the successful partnership between Purdue Polytechnic’s Department of Computer and Information Technology and the Tippecanoe County Prosecutor’s office, Governor Eric Holcomb signed the High Tech Crime Unit Bill, which will lead to the creation of 10 civilian-based high-tech crime units around Indiana.

Purdue Polytechnic’s Marcus Rogers, Umit Karabiyik and Fahad Salamh earned a patent for their method of automating the collection of cloud-based digital forensic evidence.

Kathryn Seigfried-Spellar, associate professor of computer and information technology, fights crime using cyberforensics, a branch of digital forensic science pertaining to evidence found in computers and digital storage media.

Purdue Polytechnic’s Design and Innovation Challenge, a showcase for students to incorporate human-centered design during the creation of working prototypes of new products, went virtual in 2020.

Yansi Keim, a graduate research assistant in cyber forensics, was featured as one of the “12 women of crypto” in Women of Silicon Valley, an online magazine.

In an opinion piece for TheHill.com, Marcus Rogers, professor of computer and information technology, suggests that everyone be vigilant regarding their online actions.

Jim Lerums and Katherine Reichart developed the Indiana Cybersecurity Scorecard, a tool for non-experts to confidently self-assess the state of their organization’s cyberinfrastructure.

Fahad Salamh, Marcus Rogers and Umit Karabiyik have developed a cloud forensic model using machine learning to collect digital evidence related to illegal activities on cloud storage applications like Dropbox and Google Drive.