检索结果-南通市图书馆

side-channel analysis for the Re-Keying Protocol of Bluetooth Low Energy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2023年第5期38卷 1132-1148页

作者：曹培张驰陆相君陆海宁谷大武 School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

In the era of the Internet of Things,Bluetooth low energy(BLE/BTLE)plays an important role as a wellknown wireless communication *** the security and privacy of BLE have been analyzed and fixed several times,the threat of side-channel attacks to BLE devices is still not well *** this work,we highlight a side-channel threat to the re-keying protocol of *** protocol uses a fixed long term key for generating session keys,and the leakage of the long term key could render the encryption of all the following(and previous)connections *** attack exploits the side-channel leakage of the re-keying protocol when it is implemented on embedded *** particular,we present successful correlation electromagnetic analysis and deep learning based profiled analysis that recover long term keys of BLE *** evaluate our attack on an ARM Cortex-M4 processor(Nordic Semiconductor nRF52840)running Nimble,a popular open-source BLE *** results demonstrate that the long term key can be recovered within only a small amount of electromagnetic ***,we summarize the features and limitations of our attack,and suggest a range of countermeasures to prevent it.

关键词： Bluetooth low energy(BLE/BTLE) long term key re-keying protocol side-channel analysis

A nonprofiled side-channel analysis based on variational lower bound related to mutual information

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2023年第1期66卷 277-295页

作者： Chi ZHANG Xiangjun LU Pei CAO Dawu GU Zheng GUO Sen XU School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Zhi Xun Crypto Testing and Evaluation Technology Co. Ltd. 3. Viewsource Information Science and Technology Co. Ltd.

In this paper, we attempt to improve the practical performance of the nonprofiled side-channel analysis(Non SCA) with the help of neural networks. We first derive a variational lower bound related to mutual information(VLBRMI) optimized for the context of Non SCA, which possesses a set of adjustable parameters and whose maximum value linearly depends on the mutual information. Then, we propose a new Non SCA method called neural mutual information analysis(NMIA) that exploits the maximum VLBRMI as the distinguisher. We present an estimator of the maximum VLBRMI, which uses neural networks to instantiate the VLBRMI and trains the neural networks to approximate the maximum VLBRMI so that we can implement the NMIA efficiently. Finally, we evaluate the NMIA on several datasets. The experimental results show that NMIA outperforms the correlation power analysis, the mutual information analysis(MIA)based on histograms, the MIA based on kernel density estimation, and the state-of-the-art Non SCA method based on neural networks.

关键词： side-channel analysis nonprofiled method variational lower bound mutual information neural networks

side-channel analysis attacks based on deep learning network

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2022年第2期16卷 35-45页

作者： Yu OU Lang LI Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang Normal UniversityHengyang 421002China College of Information Science and Engineering Hunan Normal UniversityChangsha 410081China College of Computer Science and Technology Hengyang Normal UniversityHengyang 421002China

There has been a growing interest in the sidechannel analysis(SCA)field based on deep learning(DL)*** DL network or model has been developed to improve the efficiency of ***,few studies have investigated the impact of the different models on attack results and the exact relationship between power consumption traces and intermediate *** on the convolutional neural network and the autoencoder,this paper proposes a Template analysis Pre-trained DL Classification model named TAPDC which contains three *** TAPDC model detects the periodicity of power trace,relating power to the intermediate values and mining the deeper features by the multi-layer convolutional *** implement the TAPDC model and compare it with two classical models in a fair *** evaluative results show that the TAPDC model with autoencoder and deep convolution feature extraction structure in SCA can more effectively extract information from power consumption ***,Using the classifier layer,this model links power information to the probability of intermediate *** completes the conversion from power trace to intermediate values and greatly improves the efficiency of the power attack.

关键词： side-channel analysis template attack machine learning deep learning

SFGA-CPA: A Novel Screening Correlation Power analysis Framework Based on Genetic Algorithm

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第6期79卷 4641-4657页

作者： Jiahui Liu Lang Li Di Li Yu Ou College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang Normal UniversityHengyang421002China

Correlation power analysis(CPA)combined with genetic algorithms(GA)now achieves greater attack efficiency and can recover all subkeys ***,two issues in GA-based CPA still need to be addressed:key degeneration and slow evolution within *** challenges significantly hinder key recovery *** paper proposes a screening correlation power analysis framework combined with a genetic algorithm,named SFGA-CPA,to address these ***-CPA introduces three operations designed to exploit CPA characteris-tics:propagative operation,constrained crossover,and constrained ***,the propagative operation accelerates population evolution by maximizing the number of correct bytes in each ***,the constrained crossover and mutation operations effectively address key degeneration by preventing the compromise of correct ***,an intelligent search method is proposed to identify optimal parameters,further improving attack *** were conducted on both simulated environments and real power traces collected from the SAKURA-G *** the case of simulation,SFGA-CPA reduces the number of traces by 27.3%and 60%compared to CPA based on multiple screening methods(MS-CPA)and CPA based on simple GA method(SGA-CPA)when the success rate reaches 90%.Moreover,real experimental results on the SAKURA-G platform demonstrate that our approach outperforms other methods.

关键词： side-channel analysis correlation power analysis genetic algorithm crossover mutation

Enhancing non-profiled side-channel attacks by time-frequency analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Cybersecurity 2023年第4期6卷 50-75页

作者： Chengbin Jin Yongbin Zhou Institute of Information Engineering Chinese Academy of SciencesBeijingChina School of Cyber Security University of Chinese Academy of SciencesBeijingChina School of Cyber Science and Engineering Nanjing University of Science and TechnologyNanjingChina

side-channel analysis(SCA)has become an increasing important method to assess the physical security of cryptographic *** the process of SCA,the number of attack data directly determines the performance of *** sufficient attack data,the adversary can achieve a successful ***,in reality,the cryptographic device may be protected with some countermeasures to limit the number of encryptions using the same *** this case,the adversary cannot use casual numbers of data to perform *** performance of SCA will be severely dropped if the attack traces are *** this paper,we introduce wavelet scatter transform(WST)and short-time fourier transform(STFT)to non-profiled side-channel analysis domains,to improve the performance of side-channel attacks in the context of insufficient *** design a practical framework to provide suitable parameters for WST/STFT-based *** the proposed method,the WST/STFT-based SCA method can significantly enhance the performance and robustness of non-profiled *** practical attacks against four public datasets show that the proposed method is able to achieve more robust *** with the original correlation power analysis(CPA),the number of attack data can be reduced by 50–95%.

关键词： Correlation power analysis side-channel analysis Proposed attack framework Wavelet scatter transform Short-time fourier transform

SCARE and power attack on AES-like block ciphers with secret S-box

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2022年第4期16卷 161-172页

作者： Xin Liu An Wang Liehuang Zhu Yaoling Ding Zeyuan Lyu Zongyue Wang School of Computer Science&Technology Beijing Institute of TechnologyBeijing100081China State Key Laboratory of Cryptology P.O.Box 5159Beijing100878China

Despite Kerckhoff’s principle,there are secret ciphers with unknown components for diplomatic or military *** side-channel analysis of reverse engineering(SCARE)is developed for analyzing secret *** the side-channel leakage,SCARE attacks enable the recovery of some secret parts of a cryptosystem,e.g.,the substitution box ***,based on idealized leakage assumption,most of these attacks have a few limitations on prior knowledge or *** this paper,we focus on AES-like block ciphers with a secret S-box and demonstrate an attack which recovers both the secret key and the secret *** the one hand,the key is recovered under profiled circumstance by leakage analysis and collision *** the other hand,the SCARE attack is based on mathematical *** relies on Hamming weight of MixColumns intermediate results in the first round,which can restore the secret *** are performed on real power traces from a software implementation of AES-like block ***,we evaluate the soundness and efficiency of our method by simulations and compare with previous *** method has more advantages in intermediate results location and the required number of *** simulated traces with gaussian noise,our method requires 100000 traces to fully restore the secret S-box,while the previous method requires nearly 300000 traces to restore S-box.

关键词： cryptography SCARE side-channel analysis AES secret S-box

Enhancing Security for Legacy Factory Machines: A Continuous Key Renewal Algorithm for Securing Group of Machines

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Journal of Software Engineering and Applications 2023年第12期16卷 714-743页

作者： Nicolas Ferry Paul-Eric Dossou Gabriel Ihowa Gaspard Laouenan Icam Nantes Carquefou France Icam Grand Paris Sud Carré Sénart Lieusaint France IFSTTAR/AME/SPLOTT Université Gustave Eiffel Marne-la-Vallée France

Companies are generally focused on how to improve their global performance. Concepts, methods and tools are regularly used to transform them. Key performance indicators are used to measure how performance is increased. Industry 4.0 concepts and sustainability expectations actually contribute to this performance improvement. Indeed, cybersecurity as one of these concepts is required to increase the company performance. Even if it is well-known and applied in companies through the protection of their information systems, progress is expected in research on how to ensure the security of data and factory processes in the manufacturing, as the number of cyberattacks towards industries is growing these last few years. This paper aims to increase the company performance and sustainability to enforce factory machines protection by creating private security network groups. But currently, most of the Programmable Logic Controller PLC protocols have not been securely designed. Thus, the creation of secure groups of machines by combining strong authentication, strong or lightweight ciphering, and data stream integrity is proposed. The security is enforced by a continuous key’s renewal algorithm. An experiment on an industry’s architecture has been led to validate the concepts of the proposition. The study is compared to existing OPC-UA and MACsec standards in terms of drawbacks and advantages. This work could be implemented in hardware for further performance improvement.

关键词： Sustainable Industries Cybersecurity Networks Protocols side-channel analysis