IntrusionNet: Deep Learning-Based Hybrid Model for Detection of Known and Zero-Day Attacks
Sarmad Dheyaa Azeez, Saadaldeen Rashid Ahmed, Muhammad Ilyas, Abu Saleh Musa Miah, Fahmid Al Farid, Hezerul Abdul Karim
原始摘要（英文原文）· Original abstract
Traditional Intrusion Detection Systems (IDSs) that rely on fixed signatures or basic machine learning often struggle with sophisticated, multi-stage cyberattacks and previously unknown threats. To fix these problems, this pa... | Find, read and cite all the research you need on Tech Science Press