Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things
Article
Article Title | Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things |
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ERA Journal ID | 5073 |
Article Category | Article |
Authors | Xue, Wanli (Author), Luo, Chengwen (Author), Shen, Yiran (Author), Rana, Rajib (Author), Lan, Guohao (Author), Jha, Sanjay (Author), Seneviratne, Aruna (Author) and Hu, Wen (Author) |
Journal Title | IEEE Transactions on Mobile Computing |
Journal Citation | 20 (10), pp. 3049-3065 |
Number of Pages | 17 |
Year | 2021 |
Place of Publication | United States |
ISSN | 1536-1233 |
1558-0660 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TMC.2020.2992737 |
Web Address (URL) | https://ieeexplore.ieee.org/document/9088288 |
Abstract | Internet of Things (IoT) is flourishing and has penetrated deeply into people’s daily life. With the seamless connection to the physical world, IoT provides tremendous opportunities to a wide range of applications. However, potential risks exist when the IoT system collects sensor data and uploads it to the Cloud. The leakage of private data can be severe with curious database administrator or malicious hackers who compromise the Cloud. In this work, we propose Kryptein, a compressive-sensing-based lightweight encryption scheme for Cloud-enabled IoT systems to secure the interaction between the IoT devices and the Cloud. Kryptein supports random compressed encryption, statistical computation over cipher, and accurate raw data decryption. According to our evaluation based on two real datasets, Kryptein provides strong protection to the data. It is 250 times faster than other state-of-the-art systems and incurs 120 times less energy consumption. The performance of Kryptein is also measured on off-the-shelf IoT devices, and the result shows Kryptein can run efficiently on IoT devices. After comparing with other state-of-the-art lightweight ciphers on IoT (Simon and Speck), IoT system with Kryptein is expected to have a much more longevity with about 35 percent extended lifetime. Further, experiments illustrated IoT data variance will not affect Kryptein’s accuracy in a long term usage, and Krpytein is also able to support basic analytics tasks like machine learning (e.g., classification). |
Keywords | Compressive sensing, security, encryption, Internet of Things |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of New South Wales |
Shenzhen University, China | |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
Institute for Resilient Regions | |
Duke University, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6q84/towards-a-compressive-sensing-based-lightweight-encryption-scheme-for-the-internet-of-things
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