Bui, Duy Hieu and Puschini, Diego and Bacles-Min, Simone and Beigne, Edith and Tran, Xuan Tu (2017) AES datapath optimization strategies for low-power low-energy multi-security-level Internet-of-Thing applications. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25 (12). pp. 3281-3290. ISSN 1063-8210
Full text not available from this repository.Abstract
Connected devices are getting attention because of the lack of security mechanisms in current Internet-of-Thing (IoT) products. The security can be enhanced by using standardized and proven-secure block ciphers as Advanced Encryption Standard (AES) for data encryption and authentication. However, these security functions take a large amount of processing power and power/energy consumption. In this paper, we present our hardware optimization strategies for Advanced Encryption Standard (AES) for high speed, ultra-low power, ultra-low energy IoT applications with multiple levels of security. Our design supports multiple security levels through different key sizes, power and energy optimization for both datapath and key expansion. The estimated power results show that our implementation may achieve an energy per bit comparable with the lightweight standardized algorithm PRESENT of less than 1pJ/bit at 10MHz at 0.6V with throughput of 28Mbps in ST FDSOI 28nm technology. In terms of security evaluation, our proposed datapath, 32-bit key out of 128 bits cannot be revealed by Correlation Power Analysis (CPA) attack using less than 20 thousand traces.
| Item Type: | Article |
|---|---|
| Subjects: | Electronics and Communications Electronics and Communications > Electronics and Computer Engineering Scopus-indexed journals ISI-indexed journals |
| Divisions: | Faculty of Electronics and Telecommunications (FET) Key Laboratory for Smart Integrated Systems (SISLAB) |
| Depositing User: | Prof. Xuan-Tu Tran |
| Date Deposited: | 10 Jun 2017 11:54 |
| Last Modified: | 07 Dec 2017 06:51 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2490 |
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