The head of Germany’s national cybersecurity agency is under scrutiny over reports of ties to Russian intelligence, officials said Monday Arne Schoenbohm, who heads the BSI agency, co-founded a cybersecurity group a…
The head of Germany’s national cybersecurity agency is under scrutiny over reports of ties to Russian intelligence, officials said Monday Arne Schoenbohm, who heads the BSI agency, co-founded a cybersecurity group a…
The National Centers of Academic Excellence in Cybersecurity, located within the National Security Agency, awarded $637,223 to Brajendra Panda, a professor of computer science and computer engineering, to improve recovery methods for critical…
Throughout October, in recognition of Cybersecurity Awareness Month, the Department of Homeland Security is committed to raising awareness about how to combat the constant and ever-increasing threat from malicious cyber actors. Many…
A new report from the University of Technology Sydney (UTS) Human Technology Institute outlines a model law for facial recognition technology to protect against harmful use of this technology, but also foster innovation for…
Vivian Guetler’s research has taken her to some dark places. Specifically, the dark web, where she has spent considerable time analyzing communications on several forums commonly used by terrorist groups. The analyses…
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks…
To help meet the growing demand for cybersecurity experts, the National Science Foundation’s CyberCorps Scholarship for Service program has awarded Florida State University a $4.2 million grant to support students pursuing careers…
Researchers at Cornell University have developed a mechanism for preserving anonymity in encrypted messaging – which conceals message content but might not cloak the sender’s identity – while simultaneously blocking unwanted or…
Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or even billions of example images. Gathering such enormous datasets can be especially…