Data analysis was performed using both expert manual evaluation and the machine learning ... for creatinine detection, further investigated in the next section. The analytical performance of the Co@Cu ...

Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal ...

[ViciousSquid] is using a Hebbian learning algorithm which strengthens connections between neurons which activate often together. Additionally, the squid’s can form both short- and long-term ...

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 ...

This systematic literature re-view thoroughly analyzes research undertaken from 2020 to 2024 on malware detection using machine learning techniques, with a specific emphasis on analysis and tools.

The malware, called LOSTKEYS, shows the evolution of the group from credential phishing to more sophisticated attacks. According to the Google report, the new malware is installed through four steps.

The ease of access to malware development tools and anti-detection techniques has lowered the barrier for entry into cyberattacks, with script-kiddies and automated attacks becoming more prevalent.

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 ...