Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Satellite networks are a form of critical infrastructure whose failure can cascade across multiple sectors. Modern societies ...

Abstract "Double-extortion" ransomware attacks not only encrypt systems but also steal sensitive data. Traditional backups ...

The year 2026 stands as a watershed moment for global cybersecurity leadership. Threat actors have crossed a decisive ...

Stop deploying AI models with inflated performance scores. Sleuth detects hidden bias caused by tweaking hyperparameters, prompts, or datasets during evaluation—breaking circular reasoning in AI ...

Abstract: Machine learning malware detectors are vulnerable to adversarial EXEmples, i.e., carefully-crafted Windows programs tailored to evade detection. Unlike other adversarial problems, attacks in ...

Cyber resilience comes of age when it becomes a practiced capability—where governance, operations, technology, and people ...

Increased reliance on autonomous vehicles (AVs) and smart transportation systems throws new challenges to cybersecurity. Autonomous cars employ sophisticated Vehicle-to-Everything (V2X) communication, ...

A comprehensive Python-based toolkit for detecting, analyzing, and reporting on malicious PDF files. This project implements both static and behavioral analysis techniques used by SOC analysts and ...