Fault Detection Structures of the S-boxes and the Inverse S-boxes for the Advanced Encryption Standard
Document Type
Article
Publication Date
8-2009
Keywords
advanced encryption standard, fault detection structures, parity prediction, S-box, inverse S-box
Digital Object Identifier (DOI)
https://doi.org/10.1007/s10836-009-5108-4
Abstract
Fault detection schemes for the Advanced Encryption Standard are aimed at detecting the internal and malicious faults in its hardware implementations. In this paper, we present fault detection structures of the S-boxes and the inverse S-boxes for designing high performance architectures of the Advanced Encryption Standard. We avoid utilizing the look-up tables for implementing the S-boxes and the inverse S-boxes and their parity predictions. Instead, logic gate implementations based on composite fields are used. We modify these structures and suggest new fault detection schemes for the S-boxes and the inverse S-boxes. Using the closed formulations for the predicted parity bits, the proposed fault detection structures of the S-boxes and the inverse S-boxes are simulated and it is shown that the proposed schemes detect all single faults and almost all random multiple faults. We have also synthesized the modified S-boxes, inverse S-boxes, mixed S-box/inverse S-box structures, and the whole AES encryption using the 0.18 μ CMOS technology and have obtained the area, delay, and power consumption overheads for their fault detection schemes. Furthermore, the fault coverage and the overheads in terms of the space complexity and time delay are compared to those of the previously reported ones.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Journal of Electronic Testing, v. 25, issue 4-5, p. 225-245
Scholar Commons Citation
Mozaffari Kermani, Mehran and Reyhani-Masoleh, Arash, "Fault Detection Structures of the S-boxes and the Inverse S-boxes for the Advanced Encryption Standard" (2009). Computer Science and Engineering Faculty Publications. 32.
https://digitalcommons.usf.edu/esb_facpub/32