| Title | Research and Design of Subway BAS Intrusion Detection Expert System |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Yu, Jianguo, Tian, Pei, Feng, Haonan, Xiao, Yan |
| Conference Name | 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) |
| Keywords | Building Automation System, building management systems, Cognition, Engines, expert system, expert systems, Human Behavior, inference engine, inference mechanisms, Information security, Intrusion detection, intrusion detection system, knowledge base, pubcrawl, Public transportation, rail traffic, rail transit system, Rails, railways, resilience, Resiliency, Scalability, security, security of data, subway BAS intrusion detection expert System, subway equipment, targeted intrusion detection expert system, the inference engine, urban rail transit system |
| Abstract | The information security of urban rail transit system faces great challenges. As a subsystem of the subway, BAS is short for Building Automation System, which is used to monitor and manage subway equipment and environment, also facing the same problem. Based on the characteristics of BAS, this paper designed a targeted intrusion detection expert system. This paper focuses on the design of knowledge base and the inference engine of intrusion detection system based on expert system. This study laid the foundation for the research on information security of the entire rail transit system. |
| DOI | 10.1109/IAEAC.2018.8577262 |
| Citation Key | yu_research_2018 |
Research and Design of Subway BAS Intrusion Detection Expert System