Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

This project presents a comparative analysis of various machine ... learning (DL) models to detect Android malware using static features extracted from APK files. The objective is to create an ...

Malwarebytes earned a very good 95% detection score in my antiphishing test, but didn’t do as well at preventing malware downloads. In my test, using malware-hosting URLs, it only achieved 88% ...

This technique uses deep learning to extract IP packet attributes, builds an LSTM traffic prediction model, and then recognises DDoS attacks using the built-in LSTM model. Technology for detecting ...

Lenders who utilize machine learning-based automations through LPA save money, have shorter cycle times and have greater customer satisfaction, according to a recent analysis. A fully digitized ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Now, scientists are using ... a machine learning model to learn what 'normal' looks like for each cavity," Ferguson said. "Then, by continuously comparing new data to that baseline, the system ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years ...