IEEE

An Extended False Data Injection Attack via Deep Reinforcement Learning: Attack Model and Countermeasures in Cyber-Physical Power Systems

Abstract: False data injection attacks are commonly used to evade the bad data detector in cyber-physical power systems. This paper proposes an extended attack strategy and a deep reinforcement ...
IEEE

Symptom-Based Machine Learning Approach for Early COVID-19 Detection

Abstract: Since the global spread of COVID-19 began in November 2019, it has become a widely searched term online. COVID-19 remains a severe public health issue requiring ongoing efforts until a ...