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Research Article | Open Access
Volume 3 | Issue 5 | Year 2016 | Article Id. IJCSE-V3I5P106 | DOI : https://doi.org/10.14445/23488387/IJCSE-V3I5P106

A system for detecting network intruders in real-time

Dhivya.J, Saritha.A.

Citation :

Dhivya.J, Saritha.A., "A system for detecting network intruders in real-time," International Journal of Computer Science and Engineering , vol. 3, no. 5, pp. 34-37, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I5P106

Abstract

In this paper, we propose Securitas, a protocol identification system used for network trace, which exploits the semantic information in protocol message formats. LTE first cleans log messages and then clusters the cleaned log messages based on the DBSCAN algorithm. At last it infers message templates by LDA Gibbs sampling algorithm. Experimental results show that LTE approach infers and gets multiple log message formats at the same time with more than 90% accuracy and 100% recall.

Keywords

Latent Dirichlet Allocation, machine learning, network security, protocol identification

References

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