Abstract
Smart metering, smart parking, health, environment monitoring, and other applications drive the deployment of the so-called Internet of Things (IoT). Whilst cost and energy efficiency are the main factors that contribute to the popularity of commercial devices in the IoT domain, security features are increasingly desired. Security features typically guarantee authenticity of devices and/or data, as well as confidentiality of data in transit. Our study finds that whilst cryptographic algorithms for confidentiality and authenticity are supported in hardware on a popular class of devices, there is no adequate support for random number generation available. We show how to non-invasive manipulate the on-board source for randomness, and thereby we can completely undermine the security provided by (otherwise) strong cryptographic algorithms, with devastating results.
| Original language | English |
|---|---|
| Title of host publication | 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (Electronic) | 9781509011384 |
| DOIs | |
| Publication status | Published - 18 Jan 2017 |
| Event | 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 - Abu Dhabi, United Arab Emirates Duration: 4 Dec 2016 → 7 Dec 2016 |
Publication series
| Name | 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 |
|---|
Conference
| Conference | 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Abu Dhabi |
| Period | 4/12/16 → 7/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Law
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