Privacy and Security

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.

Research-Active Faculty
Photo of Hong Hu

Assistant Professor

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Photo of Dongwon Lee

Associate Professor

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Photo of Peng Liu

Raymond G. Tronzo, MD Professor of Cybersecurity

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Photo of Linhai Song

Assistant Professor

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Photo of Anna Squicciarini

Associate Professor

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Photo of Ting Wang

Assistant Professor

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Photo of Dinghao Wu

Associate Professor

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Photo of Xinyu Xing

Assistant Professor

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Photo of Aiping Xiong

Assistant Professor

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Recent News

Researchers test detection methods for AI-generated content

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

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Machine learning algorithm may be the key to timely, inexpensive cyber-defense

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.

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Tricking fake news detectors with malicious user comments

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.

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Penn State SBDC program to help businesses protect their data, privacy and tech

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.

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Office of Research

E339 Westgate Building
University Park, PA 16802

researchadmin@ist.psu.edu
(814) 863-6801