Power Distribution Network Capacitive Decoupling for Side-Channel Resistance

Selvam, Ravikumar; Tyagi, Akhilesh K.

doi:10.1109/ises52644.2021.00051

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…This method can separate the time point related to the encryption process before the cracking key, reduce the large amount of calculation generated by the number of phase relationships in the intermediate process, reduce the key recovery time, thereby improving the key crack efficiency [6] . In addition, because this method has been filtered in advance in advance, when the subsequent correlation coefficient is calculated, it will also increase the difference between the correlation between the key operation and other moments, thereby increasing the accuracy of the key crack.…”

Section: Figure1 Correlation Coefficient Comparisonmentioning

confidence: 99%

An analysis method for improvement of coefficient consumption of related coefficients

Gong

Chi

2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

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Side channel analysis (SCA) is an emerging password analysis method for the password chip. The physical information leaked by monitoring the password algorithm on the physical chip will be obtained by processing the obtained signal to extract the sensitive information in the encrypted device through processing analysis. In recent years, the rapid development of power consumption analysis methods in SCA has become a powerful side channel attack method. Therefore, the ability to protect password equipment from SCA's infringement has gradually become the focus of the information security industry. This article first elaborates the research status of the field of side channel analysis, introduces many problems in the field of side channel analysis, and proposes an improved power consumption analysis method for power analysis attacks under the condition of less power trace analysis. This method has successfully reduced the number of power trace points required by the recovery of the correct key in the AES-128 encryption algorithm encryption, and can still ensure a higher classification accuracy in the case of a small amount of power traces.

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Section: Figure1 Correlation Coefficient Comparisonmentioning

confidence: 99%

An analysis method for improvement of coefficient consumption of related coefficients

Gong

Chi

2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

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“…All these design flow layers have to strive to provide data-independent power or other physical side-channel behavior. Towards that end, we introduced the addition of decoupling capacitances to the power distribution network as a power side-channel mitigation technique at physical placement and the layout level [23]. We show that there is a significant reduction in the adversary power side-channel success rate with such a decoupling capacitance in a power tree.…”

Section: Introductionmentioning

confidence: 99%

“…A second research question addressed in this paper pertains to power distribution networks. Our original paper [23] illustrates the effectiveness of decoupling capacitances in a tree power distribution network. Tree power distribution networks were popular in the 1980s and 1990s.…”

Section: Introductionmentioning

confidence: 99%

Residue Number System (RNS) and Power Distribution Network Topology-Based Mitigation of Power Side-Channel Attacks

Selvam,

Tyagi

2023

Cryptography

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Over the past decade, significant research has been performed on power side-channel mitigation techniques. Logic families based on secret sharing schemes, such as t-private logic, that serve to secure cryptographic implementations against power side-channel attacks represent one such countermeasure. These mitigation techniques are applicable at various design abstraction levels—algorithm, architecture, logic, physical, and gate levels. One research question is when can the two mitigation techniques from different design abstraction levels be employed together gainfully? We explore this notion of the orthogonality of two mitigation techniques with respect to the RNS secure logic, a logic level power side-channel mitigation technique, and power distribution network (PDN), with the decoupling capacitance, a mitigation technique at physical level. Machine learning (ML) algorithms are employed to measure the effectiveness of power side-channel attacks in terms of the success rate of the adversary. The RNS protected LED block cipher round function is implemented as the test circuit in both tree-style and grid-style PDN using the FreePDK 45 nm technology library. The results show that the success rate of an unsecured base design 68.96% for naive Bayes, 67.44% with linear discriminant analysis, 67.51% for quadratic discriminant analysis, and 66.58% for support vector machine. It is reduced to a success rate of 19.68% for naive Bayes, 19.62% with linear discriminant analysis, 19.10% for quadratic discriminant analysis, and 10.54% in support vector machine. Grid-type PDN shows a slightly better reduction in success rate compared to the tree-style PDN.

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“…Logic design styles to make power consumption independent of data values with dual rail logic include Sense Amplifier Based Logic (SABL) [ 14 , 15 ], Wave Dynamic Differential Logic (WDDL) [ 16 ]. Similarly, there are other techniques such as asynchronous logic design [ 17 ], clock randomization [ 18 ], and power distribution design through decoupling unit [ 19 ] to hide the data-dependent leakage within the hardware. These design styles offer power side-channel privacy, but not cryptographic privacy.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Power Side-Channel Resistance for RNS Secure Logic

Selvam

Tyagi

2022

Sensors

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In this paper, residue number system (RNS) based logic is proposed as a protection against power side-channel attacks. Every input to RNS logic is encrypted as a share of the original input in the residue domain through modulus values. Most existing countermeasures enhance side-channel privacy by making the power trace statistically indistinguishable. The proposed RNS logic provides cryptographic privacy that also offers side-channel resistance. It also offers side-channel privacy by mapping different input bit values into similar bit encodings for the shares. This property is also captured as a symmetry measure in the paper. This side-channel resistance of the RNS secure logic is evaluated analytically and empirically. An analytical metric is developed to capture the conditional probability of the input bit state given the residue state visible to the adversary, but derived from hidden cryptographic secrets. The transition probability, normalized variance, and Kullback–Leibler (KL) divergence serve as side-channel metrics. The results show that our RNS secure logic provides better resistance against high-order side-channel attacks both in terms of power distribution uniformity and success rates of machine learning (ML)-based power side-channel attacks. We performed SPICE simulations on Montgomery modular multiplication and Arithmetic-style modular multiplication using the FreePDK 45 nm Technology library. The simulation results show that the side-channel security metrics using KL divergence are 0.0204 for Montgomery and 0.0020 for the Arithmetic-style implementation. This means that Arithmetic-style implementation has better side-channel resistance than the Montgomery implementation. In addition, we evaluated the security of the AES encryption with RNS secure logic on a Spartan-6 FPGA Board. Experimental results show that the protected AES circuit offers 79% higher resistance compared to the unprotected AES circuit.

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Power Distribution Network Capacitive Decoupling for Side-Channel Resistance

Cited by 6 publications

References 15 publications

An analysis method for improvement of coefficient consumption of related coefficients

An analysis method for improvement of coefficient consumption of related coefficients

Residue Number System (RNS) and Power Distribution Network Topology-Based Mitigation of Power Side-Channel Attacks

An Evaluation of Power Side-Channel Resistance for RNS Secure Logic

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