A system for detecting network intruders in real-time

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 5
Year of Publication : 2016
Authors : Dhivya.J, Saritha.A.
: 10.14445/23488387/IJCSE-V3I5P106

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Citation:
MLA Style:

Dhivya.J, Saritha.A., "A system for detecting network intruders in real-time" SSRG International Journal of Computer Science and Engineering 3.5 (2016): 34-37.

APA Style:

Dhivya.J, Saritha.A.,(2016). A system for detecting network intruders in real-time. SSRG International Journal of Computer Science and Engineering 3.5, 34-37.

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.

References:

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Key Words:

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