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.