Blockchain and Anomaly Detection based Monitoring System for Enforcing Wastewater Reuse

We got motivated to do this project as it lets us be innovative and provide a solution to a large scale problem.

Our solution uses blockchain to create a tamper-proof record of IoT meter readings and provide tokens on quantity and quality of wasewater reused. We also use different machine learning algorithms, namely- polynomial regression, clustering with dB Scan, and deep learning models- autoencoders and LSTM.

We built a node.js server on which our front-end was deployed. Queries from our front-end are passed to the blockchain via rest-api server. Anomaly detection model was run on flask server which is used to detect tampered IoT meter readings.

Implementing an incentive model, using blockchain based tokens, that incorporates different types of organizations. Coming up with a machine learning model that fits seemingly countless possibilities of fraud.

We deployed our model on Hyperledger successfully. We were able to notice some patterns of tampering on the IoT meters to train our model for.

We got a peek into implementing a real-life solution that affects a really large audience.

Once blockchain scales, our solution can be considered for deploying on a larger scale. Our machine learning algorithms can be trained for more cases of tampering.