[1] This paper proposed a model which is able to detect and mitigate DDoS attacks automatically in SDN networks using ML.All ... The anomaly detection module will receive the gathered data and use ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

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 ...

Online scammers are converting excitement over generative artificial intelligence into fraudulent sites that infect victims ...

Since the start of the year, the Russian state-backed ColdRiver hacking group has been using new LostKeys malware ... a Visual Basic Script (VBS) data theft malware tracked by Google as LostKeys.

Google's Threat Intelligence Group warns of COLDRIVER, a Russia-based hacking group, employing new LOSTKEYS malware ... targets to extract valuable data without drawing attention.

Using machine learning technology ... community-level social conditions. Unsupervised machine learning can process massive data sets without labels or guidance to discover hidden patterns and ...

On April 19, 2025, the company detected malware on its networks and responded by isolating the equipment suspected of being hacked. This breach allowed attackers to steal data that included IMSI ...