Fig 4 - available via license: CC BY
Content may be subject to copyright.
The framework of behavior-based anomaly detection. 

The framework of behavior-based anomaly detection. 

Source publication
Full-text available
With the arrival of Industry 4.0, more and more industrial control systems are connected with the outside world, which brings tremendous convenience to industrial production and control, and also introduces many potential security hazards. After a large number of attack cases analysis, we found that attacks in SCADA systems can be divided into inte...

Context in source publication

Context 1
... this section, we will describe the model in detail. The framework is shown in Figure 4. The basic anomaly detection steps include: information collection, uniquely entity determination, constructing three kinds of normal behavior baseline from different dimensions and using the baseline for anomaly detection. ...


Artificial intelligence is making significant changes in industrial internet of things (IIoT). Particularly, machine and deep learning architectures are now used for cybersecurity in smart factories, smart homes, and smart cities. Using advanced mathematical models and algorithms more intelligent protection strategies should be developed. Hacking of IP surveillance camera systems and Closed-Circuit TV (CCTV) vulnerabilities represent typical example where cyber attacks can make severe damage to physical and other Industrial Control Systems (ICS). This chapter analyzes the possibilities to provide better protection of video surveillance systems and communication networks. The authors review solutions related to migrating machine learning based inference towards edge and smart client devices, as well as methods for DDoS (Distributed Denial of Service) intelligent detection, where DDoS attack is recognized as one of the primary concerns in cybersecurity.