IEEE

Adversarial Machine Learning Attacks Against Network Intrusion Detection Systems: Classification Analysis

Abstract: In recent years much research has been focused on the improvement of Network-based Intrusion Detection Systems (NIDS) through the implementation of Machine Learning (ML) approaches. However, ...

Rhino Restoration Identifies Top Five Hidden Water Damage Sources in Tampa Bay Homes

Restoration Experts Share Critical Warning Signs Property Owners Often Overlook Until Costly Damage Occurs TAMPA, FL, ...
IEEE

Intrusion Detection in IoT Networks Using LSTM Deep Learning Models with the UNSW-NB15 Dataset

Abstract: Network Intrusion Detection Systems (IDS) are an essential part of the Internet of Things (IoT) Networks, addressing the increasingly severe challenges posed by Internet security threats.