Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018
Researchers have developed a hybrid CNN-LSTM framework to enhance cybersecurity for U.S. critical digital infrastructure. This AI-driven system aims to detect and prevent sophisticated cyber threats that traditional methods struggle to identify. The framework was evaluated using the CSE-CIC-IDS2018 dataset, which includes various attack scenarios like DDoS and botnets, demonstrating improved accuracy in identifying malicious network behavior. AI
IMPACT Enhances AI-driven threat detection capabilities for critical infrastructure, improving resilience against evolving cyber attacks.