A Survey on Different Graph Based Anomaly Detection Techniques

Debajit Sensarma  and Samar Sen Sarma

doi:10.17485/ijst/2015/v8i31/75197

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A Survey on Different Graph Based Anomaly Detection Techniques

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i31/75197

Year: 2015, Volume: 8, Issue: 31, Pages: 1-7

Original Article

A Survey on Different Graph Based Anomaly Detection Techniques

Debajit Sensarma^* and Samar Sen Sarma^*

Department of Computer Science & Engineering, University of Calcutta, Kolkata - 700073, West Bengal, India;
[email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This survey paper cites some methods of graph based anomaly detection in the field of information security, finance, cybersecurity, online social networks, health care, law enforcement etc. and their classification. Finally, the relevance of cyber crime and its elimination is highlighted throughout the paper with some real world applications of graph based anomaly detection techniques and also some future direction to improve the technique of detecting anomalies in data has been given.
Keywords: Anomaly Detection, Fraud Detection, Graph, Online Social Networks, Outlier Detection, Security