This paper presents a novel framework that combines the advantages of both machine learning techniques and blockchain technology to improve the malware detection for Android IoT devices. The proposed ...

Abstract: Detecting malware is crucial for ensuring the security of computer systems. Traditional machine learning ... structure and tactics, presents a substantial challenge for conventional ...

We use many different devices and store increasingly vital information on them. Malware can steal this data and lock you out of your devices, derailing your personal and professional life.

Antivirus apps protect your PC's personal information, data, bank accounts, and much more. We've tested more than two dozen utilities to help you choose the best antivirus for your needs. When the ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...