• s.subha
• Dr. J.G.R.Sathiaseelan

Anomaly detection is a significant problem in a number of applications. Due to the advancement of IoT technology, low-cost solutions, and significant influence in several application fields, anomaly detection has attracted significant attention from the research community in recent years. The discovery of innovative or unpredicted observations or sequences within the generating data is what it is concerned with. The majority of the available anomaly detection approaches are highly specialized to the unique use-case and need professional knowledge of both the methodology and the context. Numerous opportunities exist to employ this kind of data analysis in the IoT, a rapidly developing industry. This analysis offers a thorough grasp of the many anomaly detection methods used with IoT data. Finally, a summary of the present difficulties encountered in the IoT area while identifying anomalies has been provided to highlight prospective future research prospects.

IoT, Anomaly detection, analysis

"A survey on anomaly deduction techniques in IoT data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.f357-f360, September 2022, Available :http://www.jetir.org/papers/JETIR2209569.pdf

"A survey on anomaly deduction techniques in IoT data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppf357-f360, September 2022, Available at : http://www.jetir.org/papers/JETIR2209569.pdf