It Started with Templates: The Future of Profiling in Side-Channel Analysis

Batina, Lejla; Djukanović, Milena; Heuser, Annelie; Picek, Stjepan

doi:10.1007/978-3-030-10591-4_8

Cited by 9 publications

(5 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Non-invasive attacks necessitate the attacker being proximate enough to target the chip and electrical properties in IoT device, allowing the attackers to alter device behaviour or obtain sensitive data. For instance, an attacker can analyse the power signature or electromagnetic radiation emitted by an IC to obtain sensitive data (Batina et al , 2021). …”

Section: Potential Risks Of Integrating Internet Of Things In E-gover...mentioning

confidence: 99%

Integration of IoT into e-government

Shao

Ishengoma

Alexopoulos

et al. 2023

View full text Add to dashboard Cite

Purpose The purpose of this paper is to highlight the drivers, barriers, benefits and risks affecting the integration of Internet of Things (IoT) into the e-government and to provide a future research agenda. Design/methodology/approach Existing literature examining the relationships between e-government and IoT is scanned and evaluated by conceptualizing the IoT concept in the e-government perspective. Findings The study shows that there are drivers to integrate IoT in e-government, such as ensuring the economy, efficiency and effectiveness of government operations, which would largely establish a relationship between the government and the citizens. Furthermore, there are barriers to such integration, given the lack of political will, the appropriate information technology infrastructure, the training of the stakeholders with a focus on the employee and the like. Originality/value The integration of IoT in e-government is a novel and weakly explored concept, particularly in the light of new advances such as blockchain in the e-government, which requires further exploration and conceptualization, thereby achieving a shared/common vision and body of knowledge for its further successful and sustainable adoption – to the best of the authors’ knowledge, the current study is one of these initial attempts.

show abstract

Section: Potential Risks Of Integrating Internet Of Things In E-gover...mentioning

confidence: 99%

Integration of IoT into e-government

Shao

Ishengoma

Alexopoulos

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Template attack: Template attacks determine secret information through precise multivariate characterization of signals and noise of a target system by using detailed profiles of signals and noise of identical experimental systems [22]. Template attacks are the strongest form of SCAs possible in an information theoretic sense because they utilize all possible information (both signal and noise) available in each sample of leaked information.…”

Section: Sca Vulnerability Of Ecc Scalar Multiplication and Existing Countermeasuresmentioning

confidence: 99%

Design and Validation of Low-Power Secure and Dependable Elliptic Curve Cryptosystem

Poudel

Munir

Kong

et al. 2021

JLPEA

View full text Add to dashboard Cite

The elliptic curve cryptosystem (ECC) has been proven to be vulnerable to non-invasive side-channel analysis attacks, such as timing, power, visible light, electromagnetic emanation, and acoustic analysis attacks. In ECC, the scalar multiplication component is considered to be highly susceptible to side-channel attacks (SCAs) because it consumes the most power and leaks the most information. In this work, we design a robust asynchronous circuit for scalar multiplication that is resistant to state-of-the-art timing, power, and fault analysis attacks. We leverage the genetic algorithm with multi-objective fitness function to generate a standard Boolean logic-based combinational circuit for scalar multiplication. We transform this circuit into a multi-threshold dual-spacer dual-rail delay-insensitive logic (MTD3L) circuit. We then design point-addition and point-doubling circuits using the same procedure. Finally, we integrate these components together into a complete secure and dependable ECC processor. We design and validate the ECC processor using Xilinx ISE 14.7 and implement it in a Xilinx Kintex-7 field-programmable gate array (FPGA).

show abstract

“…Based on this hypothesis, The main challenge of SCA with semi-supervised learning is how to use very few labeled power traces to improve the possibility of recovering keys. Some researchers have employed techniques such as self-training and graph-based learning to address this challenge [15][16][17]. Biao Liu et al proposed an attack algorithm based on collaborative learning.…”

Section: Introductionmentioning

confidence: 99%

Improve the Performance of Semi-Supervised Side-channel Analysis Using HWFilter Method

2024

KSII TIIS

View full text Add to dashboard Cite

Side-channel analysis (SCA) is a cryptanalytic technique that exploits physical leakages, such as power consumption or electromagnetic emanations, from cryptographic devices to extract secret keys used in cryptographic algorithms. Recent studies have shown that training SCA models with semi-supervised learning can effectively overcome the problem of few labeled power traces. However, the process of training SCA models using semi-supervised learning generates many pseudo-labels. The performance of the SCA model can be reduced by some of these pseudo-labels. To solve this issue, we propose the HWFilter method to improve semisupervised SCA. This method uses a Hamming Weight Pseudo-label Filter (HWPF) to filter the pseudo-labels generated by the semi-supervised SCA model, which enhances the model's performance. Furthermore, we introduce a normal distribution method for constructing the HWPF. In the normal distribution method, the Hamming weights (HWs) of power traces can be obtained from the normal distribution of power points. These HWs are filtered and combined into a HWPF. The HWFilter was tested using the ASCADv1 database and the AES_HD dataset. The experimental results demonstrate that the HWFilter method can significantly enhance the performance of semi-supervised SCA models. In the ASCADv1 database, the model with HWFilter requires only 33 power traces to recover the key. In the AES_HD dataset, the model with HWFilter outperforms the current best semi-supervised SCA model by 12%.

show abstract

It Started with Templates: The Future of Profiling in Side-Channel Analysis

Cited by 9 publications

References 42 publications

Integration of IoT into e-government

Integration of IoT into e-government

Design and Validation of Low-Power Secure and Dependable Elliptic Curve Cryptosystem

Improve the Performance of Semi-Supervised Side-channel Analysis Using HWFilter Method

Contact Info

Product

Resources

About