| Title |
TangoChain: A Lightweight Distributed Ledger for Internet of Things Devices in Smart Cities |
| ID_Doc |
42885 |
| Authors |
Tekeoglu, A; Ahmed, N |
| Title |
TangoChain: A Lightweight Distributed Ledger for Internet of Things Devices in Smart Cities |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/isc246665.2019.9071753 |
| Abstract |
Internet of Things (IoT) is an emerging technology that have been attracting significant attention from diverse application domains ranging from smart homes, smart cities to smart healthcare and manufacturing. Especially in smart city context, IoT devices play a significant role since the city of the future is an interconnected one, where distributed devices communicate with one another, constantly exchanging streams of real time data. However, the fundamental challenge on deploying such technology is the inherent limitations on IoT device's computational power, network connectivity, energy consumption, which in turn hinders secure deployment. The introduction of Blockchain technology for digital cash offers a promising data security scheme for IoT applications in trust-less environments. Blockchain promises an elegant approach for secure information dissemination, machine-to-machine micro-transactions, and access control in a smart city context for IoT devices. However, the computational and storage requirements for original Blockchain model presents difficulties for IoT deployment. In this paper, we propose an experimental lightweight distributed ledger for IoT devices, TangoChain, utilizing a directed acyclic graph as underlying ledger data structure. We discuss the rationale behind our design approach, then present our in-progress proof-of-concept prototype implementation details, and highlight the potentials for secure IoT device deployments in a smart city context. |
| Author Keywords |
Blockchain; IoT Security; Smart Cities; Directed Acyclic Graph |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000848525400004 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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