Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things

Article

Xue, Wanli, Luo, Chengwen, Shen, Yiran, Rana, Rajib, Lan, Guohao, Jha, Sanjay, Seneviratne, Aruna and Hu, Wen. 2021. "Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things." IEEE Transactions on Mobile Computing. 20 (10), pp. 3049-3065. https://doi.org/10.1109/TMC.2020.2992737
Article Title

Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things

ERA Journal ID5073
Article CategoryArticle
AuthorsXue, 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 TitleIEEE Transactions on Mobile Computing
Journal Citation20 (10), pp. 3049-3065
Number of Pages17
Year2021
Place of PublicationUnited States
ISSN1536-1233
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).

KeywordsCompressive sensing, security, encryption, Internet of Things
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020469999. Other information and computing sciences not elsewhere classified
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Byline AffiliationsUniversity 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 OriginUniversity of Southern Queensland
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