W-Aegis: A Propagation Behavior Based Worm Detection Model for Local Networks

2009 ◽  
Author(s):  
Zhanyong Tang ◽  
Rui Qi ◽  
Dingyi Fang ◽  
Yangxia Luo
Keyword(s):  
Local Networks ◽  
Worm Detection ◽  
Detection Model ◽  
Propagation Behavior ◽  
Behavior Based

scholarly journals Behavior Based Anomaly Detection Model in SCADA System

2018 ◽  
Vol 173 ◽  
pp. 01011 ◽  
Author(s):  
Xiaojun Zhou ◽  
Zhen Xu ◽  
Liming Wang ◽  
Kai Chen ◽  
Cong Chen ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Control Systems ◽  
Supervisory Control ◽  
Industry 4.0 ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Detection Model ◽  
Scada System ◽  
Behavior Based ◽  
And Control

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 internal attacks and external attacks. Both types of attacks are inevitable. Traditional firewalls, IDSs and IPSs are no longer suitable for industrial control systems. Therefore, we propose behavior-based anomaly detection and build three baselines of normal behaviors. Experiments show that using our proposed detection model, we can quickly detect a variety of attacks on SCADA (Supervisory Control And Data Acquisition) systems.

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