Canisius Cybersecurity is a member of the U.S. Cyber Command (USCYBERCOM) Academic Engagement Network (https://www.cybercom.mil/Partnerships-and-Outreach/Academic-Engagement/). USCYBERCOM defends the nation, countering hostile cyber actors alongside our interagency, industry, and international partners. It has three main focus areas: Defending the DoDIN, providing support to combatant commanders for execution of their missions around the world, and strengthening our nation’s ability to withstand and respond to cyber attack.
Today, November 22, Canisius University will present to USCYBERCOM the work of Justin Del Vecchio, PhD, and his student researchers Andrew Perreault and Eliana Furmanek. Their research focuses on unique applications of large language models (OpenAI’s ChatGPT or Meta’s Llama) to auto generate software code from human natural language instructions. Large language models offer malware developers opportunities to easily engineer previously unseen malware. Concurrently, the models can make life harder on cyber attackers by creating ephemeral executables that are difficult to reverse engineer and are continually changing. This limits the ability of attackers to identify and exploit vulnerabilities.
Submitted by: Justin Del Vecchio, Assisstant Professor, Computer Science & Cybersecurity
