Published in

2009 Fourth International Conference on Frontier of Computer Science and Technology

DOI: 10.1109/fcst.2009.97

Links

Tools

Export citation

Search in Google Scholar

Intrusion Detection Using Geometrical Structure

Proceedings article published in 2009 by Aruna Jamdagni, Zhiyuan Tan, T. Tan, Priyadarsi Nanda, S. He, Xiangjian He ORCID, Ren Liu ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Geometrical Structure Anomaly Detection (GSAD) model to detect intrusion using the packet payload in the network. GSAD takes into account the correlations among the packet payload features arranged in a geometrical structure. The representation is based on statistical analysis of Mahalanobis distances among payload features, which calculate the similarity of new data against precomputed profile.