Young visitors to a recent educational event at the National Museum of Natural History in Washington, D.C., tested their digital privacy awareness with an interactive tool created by computer scientists from the Johns Hopkins University and the University of Notre Dame. The two-hour Privacy, Security, and Safety in Digital Space event took place in the […]
New research provides first evidence of the use of browser fingerprints for online tracking Clearing your cookies is not enough to protect your privacy online. New research conducted by a team at Johns Hopkins and Texas A&M universities found that websites are covertly using browser fingerprinting—a method to uniquely identify a web browser—to track people […]
QR code fraud is rising, so a Johns Hopkins team built a system to sniff out fakes Johns Hopkins researchers have created an AI-powered weapon against one of the internet’s fastest-growing threats: QR code scams that have skyrocketed by more than 2,400% over the last five years. The team’s AP3X Secure QR Codes Infrastructure can […]
In mid-May, Yinzhi Cao, an associate professor in the Whiting School of Engineering’s Department of Computer Science and the technical director of the Johns Hopkins University Information Security Institute, was recognized for his achievements and contributions to the field at the 46th IEEE Symposium on Security and Privacy. One of his papers, “Follow My Flow: Unveiling […]
Capstone projects target vulnerabilities in AI systems and smart devices Every year, students in Johns Hopkins University’s Security Informatics master’s program work with faculty and industry mentors to solve real-world problems. Recent semester-long capstone projects included research applying large language models to spam detection and an evaluation of security features in popular electronic devices. […]
SocIoTy connects common home devices to your phone to provide extra security Smartphones are the center of our digital lives, but they are easily lost, stolen, or hacked, giving adversaries access to sensitive information. Experts at Johns Hopkins Information Security Institute have developed a new system to enhance smartphone security, transforming devices that most […]
Researchers’ new tool exposes how easily AI’s hidden instructions can be extracted Hopkins engineers have developed a method to uncover the hidden instructions that guide AI-powered applications—a breakthrough that could lead to the design of more resilient systems less vulnerable to manipulation. Led by Yinzhi Cao, technical director of the Johns Hopkins University Information Security […]
