A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of Electronic Security and Digital Forensics. This deep learning-driven system offers benefits over earlier approaches in detecting and reconstructing cyberattacks on components of the vast network of connected sensors, appliances and machines. It achieves an accuracy of almost 98%, according to the researchers, and cuts analysis time by more than three-quarters.
Forensic system cuts IoT attack analysis time by three-quarters
