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http://dx.doi.org/10.6109/jkiice.2022.26.9.1382

Lightweight AES-based Whitebox Cryptography for Secure Internet of Things  

Lee, Jin-Min (Department of Future Convergence Technology Engineering, Sungshin Women's University)
Kim, So-Yeon (Department of Future Convergence Technology Engineering, Sungshin Women's University)
Lee, Il-Gu (Department of Future Convergence Technology Engineering, Sungshin Women's University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.9, 2022 , pp. 1382-1391 More about this Journal
Abstract
White-box cryptography can respond to white-box attacks that can access and modify memory by safely hiding keys in the lookup table. However, because the size of lookup tables is large and the speed of encryption is slow, it is difficult to apply them to devices that require real-time while having limited resources, such as IoT(Internet of Things) devices. In this work, we propose a scheme for collecting short-length plaintexts and processing them at once, utilizing the characteristics that white-box ciphers process encryption on a lookup table size basis. As a result of comparing the proposed method, assuming that the table sizes of the Chow and XiaoLai schemes were 720KB(Kilobytes) and 18,000KB, respectively, memory usage reduced by about 29.9% and 1.24% on average in the Chow and XiaoLai schemes. The latency was decreased by about 3.36% and about 2.6% on average in the Chow and XiaoLai schemes, respectively, at a Traffic Load Rate of 15 Mbps(Mega bit per second) or higher.
Keywords
Whitebox cryptography; Memory optimization; Reduced latency; Lightweight device;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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