Statistical Process Control-Based Intrusion Detection and Monitoring-Reference-Cited by-同舟云学术

Statistical Process Control-Based Intrusion Detection and Monitoring

Published:2013-02-08 Issue:2 Volume:30 Page:257-273
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Park Yongro¹,Baek Seung Hyun²,Kim Seong-Hee³,Tsui Kwok-Leung⁴

Affiliation:

1. Samsung SDS; Bundang-Gu Seongnam-Si Gyeonggi-Do South Korea

2. Division of Business Administration, College of Economics and Business Administration; Hanyang University ERICA Campus; Sangnok-Gu Ansan-Si, Gyeonggi-Do South Korea

3. School of Industrial and Systems Engineering (ISyE); Georgia Institute of Technology; Atlanta GA USA

4. Department of Systems Engineering and Engineering Management; City University of Hong Kong; Kowloon Hong Kong

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference15 articles.

1. Anderson D Frivold T Valdes A Next-generation intrusion detection expert system (NIDES): a summary 1995 http://www.csl.sri.com/papers/4sri/

2. Anderson JP Computer security threat monitoring and surveillance 1980

3. Heady R Luger G Maccabe A Servilla M The architecture of a network level intrusion detection system 1990

4. Helman P Liepins G Richards W Foundations of intrusion detection Proceedings of the Fifth Computer Security Foundations Workshop 1992

5. The effect of serial correlation on the performance of CUSUM tests;Johnson;Technometrics,1974

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance of EWMA and ANN-based Schemes in Detection of Denial of Service Attack;IOP Conference Series: Materials Science and Engineering;2021-03-01

2. Automatic extraction and integration of behavioural indicators of malware for protection of cyber–physical networks;Future Generation Computer Systems;2019-12

3. To reduce or not to reduce: a study on spatio-temporal surveillance;Environmental and Ecological Statistics;2019-09

4. Dynamic Field Monitoring Based on Multitask Learning in Sensor Networks;Sensors;2019-03-29

5. A Data-Driven Approach for Network Intrusion Detection and Monitoring Based on Kernel Null Space;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2019