Our research in privacy and security takes an interdisciplinary approach to detecting and removing threats of cyberattacks, enhancing predictability and trust, and understanding online privacy and information manipulation. Our research methodology is rooted in several disciplines, including computer science, applied mathematics, cognitive science, control theory, economics, social sciences, and public policy. Specifically, we conduct research to understand issues and seize opportunities in systems and software security, usability considerations in privacy and security, economics of information security, and data-driven security, among many others.
Privacy and Security
February 5, 2021
In an effort to combat malicious use of artificial intelligence text generators—for example, an adversary generating fake news to share on social media—researchers at the College of Information Sciences and Technology analyzed eight different state-of-the-art natural language generators to identify whether each had a distinct writing style that
February 3, 2021
Attacks on vulnerable computer networks and cyber-infrastructure — often called zero-day attacks — can quickly overwhelm traditional defenses. A Penn State-led team of researchers has used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber-defense against these attacks.
October 30, 2020
New research from a team at Penn State’s College of Information Sciences and Technology shows how fake news detectors can be manipulated through user comments to flag true news as false and false news as true, even if the adversary is not the story’s original author.
October 9, 2020
In recognition of National Cybersecurity Awareness Month, the Penn State Small Business Development Center is partnering with the Harrisburg LaunchBox to host a free, virtual event, “Cybersecurity: Safeguarding Your Small Business," on Oct. 15.