Adaptive Ciphertext Policy Attribute Based Encryption Scheme for Internet of Things Devices Using Decision Tree
Mohammad Bany Taha, Hanan Suwi, Fawaz Khaswneh, Khaled Alzaareer · Revue d intelligence artificielle · 2020
The Internet of Things (IoT) has recently become a hot spot for researchers and its industrial importance is growing exponentially day after day.Statistics show that the number of IoT devices will reach fifty billion by 2020.IoT applications are backed through clouds where data is stored and processed by gigantic processing systems and accessed only by authorized users.In the present work, we outsource the encryption and decryption of ABE operations to proxy servers in order to reduce the computation overhead of encryption and decryption.However, in some cases performing full encryption is more worthy than partial encryption if IoT resources are fit to perform this encryption thus, our scheme allows to adaptively switch from partial encryption to full encryption based on the resources that available and the number of attributes in access tree.The decision maker component (manager) uses decision tree to select the appropriate scheme based on the context at encryption time.Finally, we evaluate the performance of our scheme with other scheme proposed for constrained devices.