Frequent item set mining-based alert correlation for extracting multi-stage attack scenarios-Reference-Cited by-同舟云学术

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Frequent item set mining-based alert correlation for extracting multi-stage attack scenarios

Published:2012-11 Issue: Volume: Page:
ISSN:
Container-title:6th International Symposium on Telecommunications (IST)
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Author:

Lagzian Samira,Amiri Fatemeh,Enayati AliReza,Gharaee Hossien

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6478875/6482932/06483134.pdf?arnumber=6483134

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. Analysis and modelling of multi-stage attacks;2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2020-12

2. Attack plan recognition using hidden Markov and probabilistic inference;Computers & Security;2020-10

3. Unsupervised multi-stage attack detection framework without details on single-stage attacks;Future Generation Computer Systems;2019-11

4. Anomaly Detection Using Agglomerative Hierarchical Clustering Algorithm;Information Science and Applications 2018;2018-07-24

5. A systematic survey on multi-step attack detection;Computers & Security;2018-07

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