Page 7: Research news on Digital privacy risks

Digital privacy risks encompass the technical, behavioral, and economic mechanisms through which personal data are collected, monetized, and exploited across smartphones, social media, IoT devices, and online services. Work in this area examines surveillance-based business models, opaque data practices in apps and platforms, and the growing use of AI to scale and personalize scams, fraud, and manipulation. It also investigates human factors such as multitasking, device dependence, and demographic vulnerabilities, alongside interventions for fraud prevention, privacy protection, and safer technology use.

Business

Multitasking raises risk of phishing, study finds

In the information age, multitasking is often worn as a badge of honor. But according to new research led by Xuecong Lu, assistant professor of information security and digital forensics in UAlbany's Massry School of Business, ...

Computer Sciences

Exposing how automation apps can spy—and how to detect it

A team of University of Wisconsin-Madison engineers and computer scientists has identified vulnerabilities in popular automation apps that can make it easy for an abuser to stalk individuals, track their cellphone activity, ...

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