This paper proposes a scalable and autonomous malware detection and defence architecture in software-defined networks (SDNs) that employs federated learning (FL). This architecture combines SDN’s ...

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.

The landscape of malware analysis has significantly evolved, driven by the increasing sophistication of cyber threats and the advanced techniques being developed to combat them. Malware attacks on US ...

With the growing popularity of autonomous vehicles (AVs), confirming their safety has become a significant concern. Vehicle manufacturers have combined the Android operating system into AVs to improve ...

NEW YORK, NY – Aug. 3, 2022 – Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today delivered Deep Instinct Prevention for Applications, an agentless, on-demand, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today’s malware moves so fast that if you blink, you might miss it. The ...

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has released a new version of "Malware Next-Gen," now allowing the public to submit malware samples for analysis by CISA. 18 kits, a ...

Sandboxing is a security technique that is used to restrict the interaction of a program with the operating system simply because the program is untested or the program contains some malicious codes.

Whether you’re an individual or a company, safeguarding your data is of utmost importance. One effective approach to protect sensitive information and systems is by utilising tools powered by ...

For those looking to learn about and share malware samples, a site called VirusBay may be what you are looking for. VirusBay's goal is to make malware analysis more social by providing a place for ...