Anomaly Detection for Beth Dataset Using Machine Learning Approaches

Due to the advancement of technology network has become a part of our daily life. Thinking about life without network has become impossible. Sharing important and confidential information through network has become common. It is important to maintain the data integrity and confidentiality to maintain the trust on the network. Thus, network need to have strong and strict security. There are lots of criminal and unwanted ways to destroy the data integrity and confidentiality. It is import to prevent and block those illigal ways. This paper focus on Beth dataset. This analysis will give an insight of the Beth dataset. This gives researcher scientist an idea to if they can use this dataset to build strong and efficient anomaly detection model for the network.