Abstract: Detecting frauds in computing platforms involves identifying malicious user activity sessions. Recently, deep learning models have been employed to design fraud detection approaches.

Over 100 NPM and PyPI packages were injected with malicious code in the Miasma and Hades Shai-Hulud supply chain attack ...

Your weekly cybersecurity recap: a GitHub supply chain worm, an exploited Android flaw, Instagram account takeovers, and a ...

Machine learning engineer is one of the most in-demand IT career categories right now. That reality is thanks to the rapid ...

As threat actors operationalize AI to accelerate attacks, they are also leveraging the wider global interest around AI itself as a social engineering lure. In recent months, Microsoft Threat ...

Abstract: Marine debris impacts negatively upon the marine environment and the survival of marine life because they are some difficult-to-degrade substances, and most of them will sink into the deep ...

For years, Java has been described as “legacy” – dependable, yes, but hardly at the cutting edge. The latest Azul 2026 State ...

Overview  AI and machine learning roles are seeing the fastest growth globally, with employers prioritizing expertise in LLMs ...

Massive regional C2 footprint More than 1.3K C2 Servers Discovered in the Middle East Hunt.io said it identified more than ...

Businesses in Europe and Africa now face localised phishing and malware attacks from a suspected China-aligned group that has ...

The recent disclosure by Google’s Threat Intelligence Group that hackers are now using artificial intelligence to develop ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business ...