Decision Tree-Based Confidentiality Self-Management in the Internet of Things

The expansion of the IoT ecosystem has made the confidentiality of IoT data increasingly crucial, leading to the use of lightweight cryptographic algorithms. Due to the large number of objects, heterogeneity, and energy limitations in IoT ecosystems, managing lightweight cryptographic ciphers is an extremely challenging task. In order to address this issue, we suggest a new IoT framework that incorporates self-managed lightweight cryptographic ciphers using the Autonomic Computing paradigm. This approach is based on a decision tree algorithm, which ensures the confidentiality of IoT data, improves the performance and extends the lifetime of IoT devices.