+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Privacy-preserving blockchain based IoT ecosystem using attribute-based encryption|
|Authors: ||Rahulamathavan, Yogachandran|
Phan, Raphael C.-W.
Internet of things
Attribute based encryption
|Issue Date: ||2018|
|Citation: ||RAHULAMATHAVAN, Y. ... et al., 2018. Privacy-preserving blockchain based IoT ecosystem using attribute-based encryption. Presented at the 11th IEEE International Conference on Advanced Networks and Telecommunications Systems, (ANTS 2017), Bhubaneswar, India, 17-20 Dec.|
|Abstract: ||© 2017 IEEE. The Internet of Things (IoT) has penetrated deeply into our lives and the number of IoT devices per person is expected to increase substantially over the next few years. Due to the characteristics of IoT devices (i.e., low power and low battery), usage of these devices in critical applications requires sophisticated security measures. Researchers from academia and industry now increasingly exploit the concept of blockchains to achieve security in IoT applications. The basic idea of the blockchain is that the data generated by users or devices in the past are verified for correctness and cannot be tampered once it is updated on the blockchain. Even though the blockchain supports integrity and non-repudiation to some extent, confidentiality and privacy of the data or the devices are not preserved. The content of the data can be seen by anyone in the network for verification and mining purposes. In order to address these privacy issues, we propose a new privacy-preserving blockchain architecture for IoT applications based on attribute-based encryption (ABE) techniques. Security, privacy, and numerical analyses are presented to validate the proposed model.|
|Description: ||Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Version: ||Accepted for publication|
|Publisher Link: ||https://doi.org/10.1109/ANTS.2017.8384164|
|Appears in Collections:||Conference Papers and Presentations (Loughborough University London)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.