Document type
Journal articles
Document subtype
Full paper
Title
BigFlow: Real-time and reliable anomaly-based intrusion detection for high-speed networks
Participants in the publication
Eduardo Viegas (Author)
Altair Santin (Author)
Alysson Bessani (Author)
Dep. Informática
LASIGE
Nuno Neves (Author)
Dep. Informática
LASIGE
Date of Publication
2019-04
Where published
Future Generation Computer Systems
Publication Identifiers
ISSN - 0167-739X
Publisher
Elsevier BV
Number of pages
12
Starting page
473
Last page
485
Document Identifiers
URL -
http://dx.doi.org/10.1016/j.future.2018.09.051
DOI -
https://doi.org/10.1016/j.future.2018.09.051
Rankings
SCIMAGO Q1 (2018) - 0.835 - Computer Networks and Communications
SCIMAGO Q1 (2018) - 0.835 - Hardware and Architecture
SCIMAGO Q1 (2018) - 0.835 - Software
Web Of Science Q1 (2018) - 5.768 - COMPUTER SCIENCE, THEORY & METHODS - SCIE
SCIMAGO Q1 (2019) - 1.216 - Computer Networks and Communications
SCIMAGO Q1 (2019) - 1.216 - Software
SCOPUS Q1 (2019) - 10.2 - Computer Networks and Communications
SCOPUS Q1 (2019) - 10.2 - Software
Web Of Science Q1 (2019) - 6.125 - COMPUTER SCIENCE, THEORY & METHODS - SCIE