A hybrid intrusion detection system design for computer network security
By M. Aydin, A. Zaim, K. Ceylan. Computers & electrical engineering, 2009
300 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/c3615b543fc5dcbff0a3eb28440c0de48cc85254
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
- Nour Moustafa
- Jill Slay
- Monowar Hussain Bhuyan
- Jugal Kumar Kalita
- Dhruba Kumar Bhattacharyya
- Marius Portmann
- Mohanad Sarhan
- Siamak Layeghy
In Computer Networks and Communications
- Nour Moustafa
- Jill Slay
- Monowar Hussain Bhuyan
- Jugal Kumar Kalita
- Dhruba Kumar Bhattacharyya
- Marius Portmann
- Mohanad Sarhan
- Siamak Layeghy
In Signal Processing
- Nour Moustafa
- Jill Slay
- Monowar Hussain Bhuyan
- Jugal Kumar Kalita
- Dhruba Kumar Bhattacharyya
- Marius Portmann
- Mohanad Sarhan
- Siamak Layeghy
Citations in the corpus
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (2015, background): “Because of these reasons, IDSs are designed to achieve high protection for the cyber security infrastructure [2].”
- Network Anomaly Detection: Methods, Systems and Tools (2014, background): “[195] 2009 3 C N P DARPA98, IDEVAL C1 Hybrid signature-based IDS”