A4 Article in conference proceedings
A Novel Method for Detecting APT Attacks by Using OODA Loop and Black Swan Theory (2018)
Bodström, T., & Hämäläinen, T. (2018). A Novel Method for Detecting APT Attacks by Using OODA Loop and Black Swan Theory. In X. Chen, A. Sen, W. W. Li, & M. T. Thai (Eds.), Computational Data and Social Networks : 7th International Conference, CSoNet 2018, December 18-20, 2018, Shanghai, China, Proceedings (pp. 498-509). Springer. Lecture Notes in Computer Science, 11280. https://doi.org/10.1007/978-3-030-04648-4_42
JYU authors or editors
Publication details
All authors or editors: Bodström, Tero; Hämäläinen, Timo
Parent publication: Computational Data and Social Networks : 7th International Conference, CSoNet 2018, December 18-20, 2018, Shanghai, China, Proceedings
Parent publication editors: Chen, Xuemin; Sen, Arunabha; Li, Wei Wayne; Thai, My T.
Conference:
- International Conference on Computational Social Networks
ISBN: 978-3-030-04647-7
Journal or series: Lecture Notes in Computer Science
ISSN: 0302-9743
Publication year: 2018
Number in series: 11280
Pages range: 498-509
Number of pages in the book: 544
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-030-04648-4_42
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/60675
Additional information: The 7th International Conference on Computational Data & Social Networks (CSoNet 2018) December 18-20, 2018, Shanghai, China
Free keywords: Advanced Persistent Thread (APT); OODA loop; Black Swan theory; network anomaly detection
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2018
JUFO rating: 0