VerSA: Verifiable and Secure Approach With Provable Security for Fine-Grained Data Distribution in Scalable Internet of Things Networks

The advent of the internet of things (IoT) and augmented reality technology not only introduces a wide range of security risks and challenges but also increases traffic on the existing wireless communication networks. This is due to the enormity of the traffics generated by the connected IoT devices whose number keeps increasing. Therefore, any IoT network requires an effective security solution capable of securing data and minimizing traffic on the IoT networks. To address these, the authors propose a practicable secure data aggregation scheme, VerSA, based on data grouping aggregation, batch verification through the aggregated signature ratios, and symmetric encryption with a pairing free key distribution. The scheme is capable of grouping and aggregating sub-network data into homogeneous and heterogeneous groups, detecting and filtering injected false data. The results show that the proposed scheme is not only secure against IoT related attacks but also has the lowest computational and communication overheads compared to the recent state-of-the-art schemes.