Python Machine Learning Project - Efficient Spam Detection Technique for IoT Devices - ClickMyProject
With the rapid development of Internet of Things (IoT) technologies, smart home systems are getting more and more popular in our daily life. Besides providing convenient functionality and tangible benefits, smart home systems also expose users to security risks. To enhance the functionality and the security, machine learning algorithms play an important role in a smart home ecosystem, e.g., anomalous detection, etc. In addition to an increased volume, the IoT devices produces a large amount of data with a number of different modalities having varying data quality defined by its speed in terms of time and position dependency. In our proposed overall smart home system model, we investigate the application of learning algorithms in smart home IoT system security. To achieve this objective, Spam Detection in IoT using Machine Learning framework is proposed. The dataset is split into two categories for training and testing the research. Additionally, the proposed method performance is good as compared with the existing methods.
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