Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Experts say the VoidLink Linux malware was largely built using AI, reaching 88,000 lines of code in days and highlighting ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Researchers found a LinkedIn phishing campaign delivering a remote access trojan via DLL sideloading, WinRAR SFX files, and ...
Identity-based attacks are one of the primary paths attackers use to breach corporate networks. Tenfold shows how Identity ...
Attacks linked to APT and ransomware groups are relying on DLL sideloading for code execution instead of exploit-based ...
Abstract: This study proposes a hybrid deep learning framework for Android malware detection integrating static and dynamic analysis. Using multimodal IoT datasets containing textual, image, and audio ...
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 ...
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