DocumentCode
3761569
Title
Research on self-learning method on generation and optimization of industrial firewall rules
Author
Wenli Shang; Ming Wan; Peng Zeng; Quansheng Qiao
Author_Institution
Shenyang Institute of Automation, Chinese Academy of Science, China
fYear
2015
Firstpage
47
Lastpage
52
Abstract
In order to make the rule setting more convenient, this paper presents a self-learning method on the generation and optimization of industrial firewall rules. This method includes three parts: packet preprocessing, rule self-learning and rule optimization. First, packet capturing and analysis accomplish the data preprocessing; Secondly, by using the self-learning module, this method generates the firewall rule set. Finally, the rule set is optimized to reduce the number of rules and shorten the packet matching length. Experiments and comparative results show that the proposed method meet effectiveness and real-time requirements of industrial control system communication control.
Keywords
"Firewalls (computing)","Protocols","Industrial control","Optimization","Algorithm design and analysis","Ports (Computers)"
Publisher
ieee
Conference_Titel
Information Security and Cyber Forensics (InfoSec), 2015 Second International Conference on
Type
conf
DOI
10.1109/InfoSec.2015.7435505
Filename
7435505
Link To Document