• M. Srinivasa Rao
• D. Nagendra Rao
• V. Usha Shree
• S. Prabhakara Rao

As computer networks become more complex, fault diagnosis has become a difficult task for network operators. In general, an fault in a communication system is always caused by a large amount of alert information. Due to the large amount of information, it is time-consuming and fault-prone to manually identify the root cause. Therefore, automatic malfunction diagnosis of computer networks is an open research problem. Detecting these defects is one of the most challenging tasks in modern computer networks. However, most of the existing fault or anomaly detection methods are generally designed to model normal traffic and then find the variance of that model. However, these techniques do not have labels for identification and suffer from other problems, including many false positives. In this paper, it provides a review of defect and anomaly behavior for fault diagnosis and prediction in distributed networks. It explores the challenges of identifying various defects and abnormal behavior in the network. It also provides insight into methodologies for fault diagnosis and forecasting approaches. This review will be an additional benefit for researchers to understand fault and anomaly prediction in distributed networks.

Distributed Network, Fault Prediction, Anomaly Behaviour, Fault Diagnosis.

"A Review on Faults and Anomaly Behaviour for Fault Diagnosis and Prediction in the Distributed Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.716-723, June 2019, Available :http://www.jetir.org/papers/JETIR1907D99.pdf

"A Review on Faults and Anomaly Behaviour for Fault Diagnosis and Prediction in the Distributed Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp716-723, June 2019, Available at : http://www.jetir.org/papers/JETIR1907D99.pdf