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Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems

发表于 2024-01-20 来源 Electronics DOI 10.3390/ELECTRONICS13020437

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作者

Mohammad Abboush Christoph Knieke Andreas Rausch

单位

Institute for Software and Systems Engineering, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany

摘要

Recently, a data-driven approach has been widely used at various stages of the system development lifecycle thanks to its ability to extract knowledge 更多..

automotive software systems dataset generation Fault injection HIL testing machine learning real-time validation

PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators

发表于 2023-09-22 来源 Advanced Intelligent Systems DOI 10.1002/AISY.202300313

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作者

Ziyu Wang Yuting Wu Yongmo Park Sangmin Yoo Xinxin Wang Jason K. Eshraghian Wei D. Lu

单位

Department of Electrical Engineering and Computer Science University of Michigan ;Department of Electrical and Computer Engineering University of California

摘要

Analog compute‐in‐memory (CIM) systems are promising candidates for deep neural network (DNN) inference acceleration. However, as the use of DNNs expa 更多..

compute-in-memory generative adversarial network machine learning memristor resistive random-access memory side-channel attack

A Systematic Review of Fault Injection Attacks on IoT Systems

发表于 2022-06-28 来源 Electronics DOI 10.3390/ELECTRONICS11132023

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作者

Gangolli Aakash Mahmoud Qusay H. Azim Akramul

单位

Department of Electrical, Computer and Software Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, Canada (Q.H.M.) (A.A.)

摘要

The field of the Internet of Things (IoT) is growing at a breakneck pace and its applications are becoming increasingly sophisticated with time. Fault 更多..

attack detection Fault injection attack machine learning software fault injection software testing software vulnerability analysis

Recent advances in deep learning‐based side‐channel analysis

发表于 2020-04-09 来源 ETRI Journal DOI 10.4218/etrij.2019-0163

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作者

Sunghyun Jin Suhri Kim HeeSeok Kim Seokhie Hong

单位

School of Cyber Security Korea University Seoul Rep. of Korea ;; Center for Information Security Technologies Institute of Cyber Security and Privacy Korea Univ展开

School of Cyber Security Korea University Seoul Rep. of Korea ;; Center for Information Security Technologies Institute of Cyber Security and Privacy Korea University Seoul Rep. of Korea ;; Department of Information Security College of Science and Technology Korea University Sejong Rep. of Korea

摘要

As side‐channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adaptin 更多..

deep learning machine learning Non‐profiling attack Profiling attack Side‐channel analysis

Meet the Sherlock Holmes’ of Side Channel Leakage: A Survey of Cache SCA Detection Techniques

发表于 2020-01-01 来源 IEEE Access DOI 10.1109/access.2020.2980522

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作者

Akram Ayaz Mushtaq Maria Bhatti Muhammad Khurram Lapotre Vianney Gogniat Guy

单位

Univ Calif Davis, Dept Comp Sci, Davis, CA 95616 USA.;Univ Montpellier, CNRS, LIRMM, F-34095 Montpellier, France.;Informat Technol Univ, Dept Elect Engn, Lahore展开

Univ Calif Davis, Dept Comp Sci, Davis, CA 95616 USA.;Univ Montpellier, CNRS, LIRMM, F-34095 Montpellier, France.;Informat Technol Univ, Dept Elect Engn, Lahore 54890, Pakistan.;Univ South Brittany, Lab STICC, F-56100 Lorient, France.

摘要

Cache Side Channel Attacks (SCAs) have gained a lot of attention in the recent past. Since, these attacks exploit the caching hardware vulnerabilities 更多..

anomaly & signature detection Cache-based side channel attacks (SCAs) Cryptography detection machine learning survey