Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2019
Abstract
An Internet of Things (IoT) system generally contains thousands of heterogeneous devices which often operate in swarms-large, dynamic, and self-organizing networks. Remote attestation is an important cornerstone for the security of these IoT swarms, as it ensures the software integrity of swarm devices and protects them from attacks. However, current attestation schemes suffer from single point of failure verifier. In this paper, we propose an Efficient and Secure Distributed Remote Attestation (ESDRA) scheme for IoT swarms. We present the first many-to-one attestation scheme for device swarms, which reduces the possibility of single point of failure verifier. Moreover, we utilize distributed attestation to verify the integrity of each node and apply accusation mechanism to report the invaded nodes, which makes ESDRA much easier to feedback the certain compromised nodes and reduces the run-time of attestation. We analyze the security of ESDRA and do some simulation experiments to show its practicality and efficiency. Especially, ESDRA can significantly reduce the attestation time and has a better performance in the energy consumption comparing with list-based attestation schemes.
Keywords
Remote attestation, reputation management, single point of failure, swarms
Discipline
Information Security
Research Areas
Information Systems and Management
Publication
IEEE Internet of Things Journal
Volume
6
Issue
5
First Page
8372
Last Page
8383
ISSN
2327-4662
Identifier
10.1109/JIOT.2019.2917223
Publisher
Institute of Electrical and Electronics Engineers
Citation
KUANG, Boyu; FU, Anmin; YU, Shui; YANG, Guomin; SU, Mang; and ZHANG, Yuqing.
ESDRA: An efficient and secure distributed remote attestation scheme for IoT swarms. (2019). IEEE Internet of Things Journal. 6, (5), 8372-8383.
Available at: https://ink.library.smu.edu.sg/sis_research/7327
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1109/JIOT.2019.2917223