A Machine Learning Model for Temporal Anomaly Detection in Venture Cyber-Security |
Author(s): |
| Geethumol P. V , Mount Zion College of Engineering; Sithara Sasidharan, Mount Zion College of Engineering |
Keywords: |
| Machine Learning, Stationary Markov Chain Model, Anomaly Detection |
Abstract |
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Anomaly detection is emerging as an important complement to signature-based methods for venture network defence. In this paper, discuss an persevering structure to describe anomaly detection in large enterprise networks. This structure provides structure in the basis of a regression-based anomaly detection method. This paper describes Markov-Chain model for detecting anomalies in network. |
Other Details |
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Paper ID: IJSRDV4I100325 Published in: Volume : 4, Issue : 10 Publication Date: 01/01/2017 Page(s): 881-882 |
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