Intrusion Detection: A Survey
By Farzad Sabahi, Ali Movaghar. 2008 Third International Conference on Systems and Networks Communications, 2008
356 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/50dc752f3512d3838c120c1a8ff5c035d161b9a0
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
- Giorgio Giacinto
- Fabio Roli
- Battista Biggio
- Igino Corona
- C. Lin
- Max Mühlhäuser
- Hung-Jen Liao
- Shankar Karuppayah
In Computer Networks and Communications
- Fabio Roli
- Giorgio Giacinto
- Igino Corona
- Battista Biggio
- C. Lin
- Max Mühlhäuser
- Ramin Sadre
- Hung-Jen Liao
In Signal Processing
- Fabio Roli
- Giorgio Giacinto
- Battista Biggio
- Igino Corona
- C. Lin
- Max Mühlhäuser
- Hung-Jen Liao
- Shankar Karuppayah
Citations in the corpus
- Taxonomy and Survey of Collaborative Intrusion Detection (2015, background): “In regards to the position of their deployment, IDSs can be divided into either host-based host-based or network-based IDSs [Kabiri and Ghorbani 2005; Lazarevic et al. 2005].”
- Intrusion detection system: A comprehensive review (2013, background): “, 2004 ; Amer and Hamilton , 2010 ; Bace and Mell , 2001 ; Sabahi and Movaghar , 2008 ; Lazarevic et al .”
- Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues (2013, background): “Depending on the specific security problem, IDS categorization may be further split [91], but, for the sake of our investigation, we may refer to these two main abstraction levels without loss”
- An Overview of IP Flow-Based Intrusion Detection (2010, methodology): “At the second stage, packet inspection can be used to additionally protect critical servers or selected systems, for which the rst stage has discovered suspicious activities.”