• K S L Prasad
• Korukonda Balaji

Anything that deviates from what is anticipated, customary, or normal is referred to as an abnormality. In many applications, it is essential to identify anomalies. The most common argument is that unexpected behaviour always results in a loss of some kind, which could be damage to the system or the loss of important data. Many techniques for detecting anomalies have been developed specifically for certain types of data or applications. To help researchers select an effective anomaly detection methodology, we have listed a few machine-learning anomaly detection techniques in this paper.

Anomaly, Anomaly Detection, Intrusion Detection, Outlier, Supervised, Unsupervised

"A Review of Different Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d693-d696, February-2024, Available :http://www.jetir.org/papers/JETIR2402382.pdf

"A Review of Different Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd693-d696, February-2024, Available at : http://www.jetir.org/papers/JETIR2402382.pdf