IEEE

Feistel-PUF: Sequential Obfuscation-Based Machine Learning Attack-Resistant Physical Unclonable Function for IoT Device Security Authentication

Abstract: Device authentication protocols based on a strong physical unclonable function (PUF) show promise for enhancing Internet of Things (IoT) security. However, a strong PUF is vulnerable ...

ThreatDown Uncovers First Cyber Attack Abusing Deno JavaScript Runtime for Fileless Malware Delivery

ThreatDown, the corporate business unit of Malwarebytes, today published research documenting what researchers believe to be ...
IEEE

Toward Efficient Deobfuscation via Large Language Models

Abstract: Obfuscation modifies code structure to impede reverse engineering and is widely used to protect intellectual property and evade malware detection. However, existing deobfuscation techniques ...