General Differential Fault Attack on PRESENT and GIFT Cipher With Nibble

Luo, Haoxiang; Chen, Weijian; Ming, Xinyue; Wu, Yifan

doi:10.1109/access.2021.3062665

Cited by 27 publications

(4 citation statements)

References 26 publications

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“…2) According to different grades, recycling waste heat from fuel cells is more feasible. [ 6,13,43 ]…”

Section: System Description and Problem Statementmentioning

confidence: 99%

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Temporal Covariance‐Involved Distributionally Robust Optimization for Photovoltaic–Hydrogen Integrated Energy System Scheduling Considering Source, Load Sides, and Market Uncertainties

Wang,

Jia,

Song

et al. 2024

Energy Tech

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Under the pressures of environmental pollution, solar energy and hydrogen have attracted widespread attention, thus promoting the development of photovoltaic–hydrogen integrated energy system. However, multiple uncertainties seriously interfere with the system's economic and stable operation. Therefore, this article proposes a temporal covariance‐involved distributionally robust optimization model for system scheduling considering multiple uncertainties from source, load sides, and market. First, the possible range of the uncertainties distribution is described by a novel moment‐based ambiguity set modified with temporal covariances. Second, the objective function is constructed as a min{sup} form to minimize the expected operation cost under the “worst‐case” distribution in the ambiguity set. Then, the constraints present a two‐stage structure. The first stage guarantees the operation feasibility under the forecasting scenario, and the second stage accounts for forecasting errors to formulate the rescheduling space for resisting uncertainties. Finally, the model is transformed into an easy‐to‐solve semidefinite programming. Simulation finds that the model 1) significantly reduces the average and standard deviation of system operation cost by 22.35% and 27.41%, respectively; 2) ensures 100% photovoltaic accommodation; and 3) maintains low conservativeness and complexity simultaneously. Above all, this study provides an effective approach for comprehensive ultilization of clean energies under multiple uncertainties.

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“…2) According to different grades, recycling waste heat from fuel cells is more feasible. [ 6,13,43 ]…”

Section: System Description and Problem Statementmentioning

confidence: 99%

“…The proposed method could effectively improve the economy of HIES and reduce the cost of hydrogen production. [ 6 ] Li. et al proposed a two‐level game stochastic optimization (SO) scheduling strategy for hydrogen‐coupled regional IES clusters, considering the nonlinear relationship between hydrogen production and input power.…”

Section: Introductionmentioning

confidence: 99%

Temporal Covariance‐Involved Distributionally Robust Optimization for Photovoltaic–Hydrogen Integrated Energy System Scheduling Considering Source, Load Sides, and Market Uncertainties

Wang,

Jia,

Song

et al. 2024

Energy Tech

View full text Add to dashboard Cite

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“…Here, we additionally introduce some recent references that are related to this work. In Reference 23, Luo et al studied the P permutation law of the block ciphers PRESENT and GIFT and described how to launch a general differential fault attack on them. From their simulations, we can know that the DFA of GIFT is rather effect.…”

Section: Introductionmentioning

confidence: 99%

Differential fault analysis on the lightweight block cipher plug‐in plug‐out

Xiao

Wang

2022

Security and Privacy

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In recent years, many lightweight block ciphers were proposed to provide security for resource-constrained environments such as Internet of Things (IoT). PIPO, which stands for "plug-in plug-out", is just a lightweight bit-sliced block cipher offering excellent performance in 8-bit AVR software implementations.In fact, PIPO owns 64-bit input and output, 128-bit secret key. In this article, we consider the differential fault analysis (DFA), a typical side-channel attack, on the PIPO cipher. More concretely, for the first time, we apply the mixed attack model, which considers the DFA on the encryption state and key schedule simultaneously, to recover PIPO's 128-bit master key. The theoretical analysis shows that, in average, after injecting 4-byte faults, the complexity of obtaining the master key reduces from 2 128 reduces to 2 14 . In fact, this attack model alleviates the assumption on attacker than the bit-injection case. It should be noted that our analysis also holds for other bit-sliced block ciphers. Finally, the simulations show that our proposed DFA on PIPO cipher is rather practical.

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“…Let x r,63 ∥ x r,62 ∥ • • • ∥ x r,0 denote the state before fault injection, x r,63 * ∥ x r,62 * ∥ • • • ∥ x r,0 * denote the state after fault injection, and a fault known in width and specific bit positions be injected at x r,q * ∥ • • • ∥ x r,p * (0 ≤ p ≤ q ≤ 63). Equations are as shown in Equation (18).…”

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confidence: 99%

Differential Fault and Algebraic Equation Combined Analysis on PICO

Ding,

Zhang,

et al. 2024

Mathematics

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In modern information technology, research on block cipher security is imperative. Concerning the ultra lightweight block cipher PICO, there has been only one study focused on recovering its complete master key, with a large search space of 264, and no fault analysis yet. This paper proposes a new fault analysis approach, combining differential fault and algebraic equation techniques. It achieved the recovery of PICO’s entire master key with 40 faults in an average time of 0.57 h. S-box decomposition was utilized to optimize our approach, reducing the time by a remarkable 75.83% under the identical 40-fault condition. Furthermore, PICO’s complete master key could be recovered with 28 faults in an average time of 0.78 h, indicating a significant 237 reduction in its search space compared to the previous study. This marks the first fault analysis on PICO. Compared to conventional fault analysis methods DFA (differential fault analysis) and AFA (algebraic fault analysis), our approach outperforms in recovering PICO’s entire master key, highlighting the cruciality of key expansion complexity in block cipher security. Therefore, our approach could serve to recover master keys of block ciphers with comparably complicated key expansions, and production of more secure block ciphers could result.

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General Differential Fault Attack on PRESENT and GIFT Cipher With Nibble

Cited by 27 publications

References 26 publications

Temporal Covariance‐Involved Distributionally Robust Optimization for Photovoltaic–Hydrogen Integrated Energy System Scheduling Considering Source, Load Sides, and Market Uncertainties

Temporal Covariance‐Involved Distributionally Robust Optimization for Photovoltaic–Hydrogen Integrated Energy System Scheduling Considering Source, Load Sides, and Market Uncertainties

Differential fault analysis on the lightweight block cipher plug‐in plug‐out

Differential Fault and Algebraic Equation Combined Analysis on PICO

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