| ID Code |
: |
CSC 0040 |
| Title |
: |
Implementing a CBR Recommender for Honeypot Configuration Using jCOLIBRI |
| Author/s |
: |
Wira Zanoramy Zakaria;
and Miss Laiha Mat Kiah [UM] |
| Abstract |
: |
A dynamic and intelligent honeypot have the ability to learn the behavior of the network and automatically configures itself. This research proposed the Case-based Reasoning (CBR) methodology to realize a CBR recommender system for the domain of honeypot configuration and deployment. The prototype recommender system is built using a Java- based CBR framework, jCOLIBRI. This paper describes about the architecture of the proposed system, case-base, case representation, case retrieval, case reuse and case revise. The case-base for this system is built with an initial set of 10 honeypot cases contained within the case-base |
| Publication |
: |
Proceedings of the 3rd International Conference on Computer Science and Computational Mathematics 2014 |
| Year Published |
: |
2014|232-236|Conference Proceeding |
| PDF / Official URL |
: |
http://www.iccscm.com/2014/ICCSCMProcAll.pdf |
