Nature

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms

Internet of Vehicles (IoV) is a multi-node network which switches data in an open and wireless environment. Numerous interaction activities occur among IoV entities to share significant information, ...
Nature

Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches

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 ...
Opinion
Security BoulevardOpinion

When Malware Becomes Unique on Every Machine, Detection Stops Being a Strategy

The worm that writes its own attack for every machine it encounters is not a warning about what is coming. It is a demonstration of what is already here. The question is whether the industry's ...
Dark Reading

Antivirus, Anti-Malware Lead Demand for AI/ML Tools

Artificial intelligence (AI) and machine learning (ML) tools are gaining traction in enterprises, and the rate of adoption is particularly notable in cybersecurity operations, where these technologies ...
Infosecurity-magazine.com

Malicious Machine Learning Model Attack Discovered on PyPI

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...