Taxonomy and Survey of Collaborative Intrusion Detection

By Emmanouil Vasilomanolakis, Shankar Karuppayah, Max Mühlhäuser, Mathias Fischer. ACM Computing Surveys, 2015

322 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e11d5a4edec55f5d5dc8ea25621ecbf89e9bccb7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. V. Varadharajan
2. U. Tupakula
3. Emmanuel S. PIlli
4. Andras Rozsa
5. Terrance E. Boult
6. Manuel Günther
7. Ethan M. Rudd
8. Preeti Mishra

In Information Systems

1. V. Varadharajan
2. Terrance E. Boult

In Signal Processing

1. V. Varadharajan
2. U. Tupakula
3. Emmanuel S. PIlli
4. Andras Rozsa
5. Terrance E. Boult
6. Manuel Günther
7. Ethan M. Rudd
8. Preeti Mishra

Citations in the corpus

• A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions (2016, background): “[5], [6], [7], some specifically discussing machine learning intrusion detection techniques [1], [8], [9], [10].”
• A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection (2019, background): “An IDS is a type of security tool that monitors network traffic and scans the system for suspicious activities and alerts the system or network administrator [14].”