Abstract | ||
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Leakage resiliency is a kind of light-weight ways of thwarting side-channel attack (SCA) threat. But the frequent updating of key still brings considerable energy overhead for wireless sensor network (WSN) devices. It is a way of saving energy consumption to update the secret key only when the risk of revealing key accumulates to a dangerous threshold, instead of updating at every run. This paper proposes a risk-aware key updating method for leakage resilient cryptography used by WSN node. It employs an on-the-fly risk monitor to evaluate the real time success rate of potential attacks. A low cost implementation of the monitor hardware is presented in addition. A risk-aware key updating leakage resilient Advanced Encryption Standard (AES) engine was implemented and achieves typically 91.7% decrease in terms of energy with only around 8.5% chance of being cracked and 11.6% additional area. |
Year | DOI | Venue |
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2017 | 10.1109/CIS.2017.00068 | 2017 13th International Conference on Computational Intelligence and Security (CIS) |
Keywords | Field | DocType |
side-channel attack,leakage resilience,energy efficient,AES wireless sensor network | Psychological resilience,High-definition video,Leakage (electronics),Advanced Encryption Standard,Cryptography,Computer science,Server,Computer network,Artificial intelligence,Energy consumption,Wireless sensor network,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-5386-4823-0 | 0 | 0.34 |
References | Authors | |
9 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chaoqun Yang | 1 | 1 | 1.04 |
Xiangyu Li | 2 | 27 | 10.25 |
Yongchang Liu | 3 | 0 | 0.34 |
Shujuan Yin | 4 | 1 | 1.38 |