Data preprocessing for anomaly based network intrusion detection: A review
By Jonathan J. Davis, Andrew J. Clark. Computers & security, 2011
326 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/0a9f0b436b610d4cef1a022ab6083ac2278dc7e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- M. F. Elrawy
- Fannia Pacheco
- Mathieu Gineste
- Ernesto Exposito
- José Aguilar
- Hesham F. A. Hamed
- Sebastian Garcia
- Cédric Baudoin
In Computer Networks and Communications
Citations in the corpus
- Intrusion detection systems for IoT-based smart environments: a survey (2018, methodology): “A specification-based approach, a parser-based approach or an approach based on application protocol keywords can be used to analyze the protocols in a computing environment [78].”
- An empirical comparison of botnet detection methods (2014, background): “However , it can be complex and difficult to do ( Davis and Clark , 2011 ) .”
- Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey (2019, methodology): “For a more detailed study refer to the work in [92], which specifies the procedures of data construction, FE and FR from protocol, packet and flow levels.”