Improved Advance Encryption Standard with a Privacy Database Structure for IoT Nodes

Abstract

The Internet of Things (IoT) contains huge number of devices and objects that have very low or nonexistent processing and communication resources, connected to a small number of high-powered devices as envisaged in the coming 5G Networks. In the foreseeable future, the backend systems will not be able to provide security and privacy via cryptographic primitives due to the sheer number of IoT devices. This research presents cloud approximate nearest neighbors (CANN) mechanism of a Mesh network based on an improved advanced encryption standard (I-AES) with a privacy database structure (PDS). In addition, it provides a theoretical basis considering the huge number of 5G devices and physical unclonable functions (PUF) applicable in IoT for the coming 5G Network. Comparing our proposed I-AES algorithm against the advanced encryption standard (AES) and the Data Encryption Standard (DES), it is observed that our algorithm outperforms the previously existing algorithms in terms of encryption execution time and throughput. Finally, it was discovered that the time of encryption was slower using privacy-preserving database structures and improved AES algorithms with good scaling behavior.