140 CryptoNet

Security of ambient sensor data in habitats with simple neural encoders and complex decoders

Intervention area

Smart home

Start date

January 1, 2021

End date

December 31, 2022

Research on assistive smart homes usually involve the capture of sensitive data from various sensors. These sensors are getting more complex to monitor the resident’s activities and possible assist them. Hence, the data need to be secured in order to avoid potential leak that would affect the person. Encoding through neural network is fast and has the potential to be more adapted to this task than traditional cryptography. In this project, they will be studied in smart homes.