A4 Article in conference proceedings
State of the Art Literature Review on Network Anomaly Detection with Deep Learning (2018)
Bodström, T., & Hämäläinen, T. (2018). State of the Art Literature Review on Network Anomaly Detection with Deep Learning. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), NEW2AN 2018, ruSMART 2018 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27–29, 2018, Proceedings (pp. 64-76). Springer. Lecture Notes in Computer Science, 11118. https://doi.org/10.1007/978-3-030-01168-0_7
JYU authors or editors
Publication details
All authors or editors: Bodström, Tero; Hämäläinen, Timo
Parent publication: NEW2AN 2018, ruSMART 2018 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27–29, 2018, Proceedings
Parent publication editors: Galinina, Olga; Andreev, Sergey; Balandin, Sergey; Koucheryavy, Yevgeni
ISBN: 978-3-030-01167-3
Journal or series: Lecture Notes in Computer Science
ISSN: 0302-9743
eISSN: 1611-3349
Publication year: 2018
Number in series: 11118
Pages range: 64-76
Number of pages in the book: 705
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-030-01168-0_7
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/59976
Additional information: Also part of the Computer Communication Networks and Telecommunications book sub series (LNCCN, volume 11118).
Keywords: data security; cyber attacks; machine learning
Free keywords: network anomaly detection; deep learning
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2018
JUFO rating: 1