IEEE

Fileless Malware Threats: Evaluating Machine Learning Algorithms for Anomaly Detection

Abstract: Fileless malware is an advanced cybersecurity threat that utilizes trusted system modules to execute itself without leaving traces detectable by traditional antivirus software. Detecting ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Engadget

Chinese hackers reportedly targeting government entities using 'Brickstorm' malware

Hackers with links to China reportedly successfully infiltrated a number of unnamed government and tech entities using advanced malware. As reported by Reuters, cybersecurity agencies from the US and ...
The Hacker News

Silver Fox Uses Fake Microsoft Teams Installer to Spread ValleyRAT Malware in China

The threat actor known as Silver Fox has been spotted orchestrating a false flag operation to mimic a Russian threat group in attacks targeting organizations in China. The search engine optimization ...