Published Paper Details:

Anomaly detection is one of the biggest problems in a wide range of applications. Anomaly detection has enticed substantial attention from the research community in the past few years owing to the development of IoT technology, low-cost solutions, and great impact in different application domains. It is concerned with the detection of new or unforeseen observations or sequences within the data being generated. Most of the existing anomaly detection techniques are extremely speci?c to the individual use-case, demanding expert knowledge of the techniques as well as the situation to which it is being applied. The IoT as a rapidly emerging ?eld provides several opportunities for this type of data analysis to be implemented. This review provides a deep understanding on the various anomaly detection techniques being applied to IoT data. Finally the current challenges being faced in the IoT domain while detecting anomalies have been summarized to showcase the potential research opportunities for the future.