Hands-On Deep Learning for IoT

DL for IoT security incident detection

Traditional security solutions (such as encryption, authentication, access control, and network security) are ineffective for IoT devices. In recent years, DL/ML-based solutions have become very popular alternatives to traditional solutions. DL/ML-based solutions can monitor IoT devices and their networks intelligently and detect various new or zero-day attacks. Importantly, DL/ML can detect and/or predict various devices and network level security incidents through anomaly detection. By gathering, processing, and analyzing data about various normal and abnormal activities of devices/things and their networks, these DL/ML methods can identify various security incidents, including IoT device and network ...