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Silicon-correlated Simulation Methodology of EM Side-channel Leakage Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11935308_38openalex-snapshot
Threshold Implementations Against Side-Channel Attacks and Glitches
inferredcites →https://doi.org/10.1007/13389.2190-8516openalex-snapshot
Journal of Cryptographic Engineering
inferredcites →https://doi.org/10.1007/3-540-44709-1_21openalex-snapshot
Electromagnetic Analysis: Concrete Results
inferredcites →https://doi.org/10.1007/3-540-45418-7_17openalex-snapshot
ElectroMagnetic Analysis (EMA): Measures and Counter-measures for Smart Cards
inferredcites →https://doi.org/10.1007/3-540-48059-5_15openalex-snapshot
DES and Differential Power Analysis The “Duplication” Method
inferredcites →https://doi.org/10.1007/3-540-48405-1_26openalex-snapshot
Towards Sound Approaches to Counteract Power-Analysis Attacks
inferredcites →https://doi.org/10.1007/978-3-642-01004-0_13openalex-snapshot
Evaluating Resistance of MCML Technology to Power Analysis Attacks Using a Simulation-Based Methodology
inferredcites →https://doi.org/10.1007/978-3-642-04138-9_15openalex-snapshot
A Design Flow and Evaluation Framework for DPA-Resistant Instruction Set Extensions
inferredcites →https://doi.org/10.1007/s13389-014-0080-zopenalex-snapshot
Understanding the limitations and improving the relevance of SPICE simulations in side-channel security evaluations
inferredcites →https://doi.org/10.1016/j.vlsi.2005.12.013openalex-snapshot
Power and electromagnetic analysis: Improved model, consequences and comparisons
inferredcites →https://doi.org/10.1109/cicc.2004.1358696openalex-snapshot
Proceedings of the IEEE 2004 Custom Integrated Circuits Conference
inferredcites →https://doi.org/10.1109/cicc.2004.1358869openalex-snapshot
Full-chip vectorless dynamic power integrity analysis and verification against 100uV/100ps-resolution measurement
inferredcites →https://doi.org/10.1109/date.2004.1268856openalex-snapshot
A logic level design methodology for a secure DPA resistant ASIC or FPGA implementation
inferredcites →https://doi.org/10.1109/date.2009.5090743openalex-snapshot
Enhancing correlation electromagnetic attack using planar near-field cartography
inferredcites →https://doi.org/10.1109/host49136.2021.9702270openalex-snapshot
Multiphysics Simulation of EM Side-Channels from Silicon Backside with ML-based Auto-POI Identification
inferredcites →https://doi.org/10.1109/iccad.2017.8203769openalex-snapshot
Efficient simulation of EM side-channel attack resilience
inferredcites →https://doi.org/10.1109/ises50453.2020.00038openalex-snapshot
Fast and Comprehensive Simulation Methodology for Layout-Based Power-Noise Side-Channel Leakage Analysis
inferredcites →https://doi.org/10.1109/jssc.2009.2034081openalex-snapshot
Securing Encryption Systems With a Switched Capacitor Current Equalizer
inferredcites →https://doi.org/10.1109/lemcpa.2020.2978624openalex-snapshot
A Fast Side-Channel Leakage Simulation Technique Based on IC Chip Power Modeling
inferredcites →https://doi.org/10.1109/tcad.2021.3092297openalex-snapshot
Checking Robustness Against EM Side-Channel Attacks Prior to Manufacturing
inferredcites →https://doi.org/10.1109/tcad.43openalex-snapshot
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
inferredcites →https://doi.org/10.1109/temc.2006.890168openalex-snapshot
Modeling Magnetic Radiations of Electronic Circuits Using Near-Field Scanning Method
inferredcites →https://doi.org/10.1109/temc.2007.902194openalex-snapshot
Applications of the Near-Field Techniques in EMC Investigations
inferredcites →https://doi.org/10.1109/temc.2012.2207726openalex-snapshot
An Improved Dipole-Moment Model Based on Near-Field Scanning for Characterizing Near-Field Coupling and Far-Field Radiation From an IC
inferredcites →https://doi.org/10.1145/1065579.1065640openalex-snapshot
Simulation models for side-channel information leaks
inferredcites →https://doi.org/10.1145/2676548openalex-snapshot
Gate-Level Information Flow Tracking for Security Lattices
inferredcites →https://doi.org/10.23919/date48585.2020.9116468openalex-snapshot
Sweeping for Leakage in Masked Circuit Layouts
inferredcites →https://doi.org/10.23919/date48585.2020.9116483openalex-snapshot
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/ectc51909.2023.00162openalex-snapshot
A Si-Interposer with Buried Cu Metal Stripes and Bonded to Si-Substrate Backside for Security IC Chips
inferred← citeshttps://doi.org/10.1109/ets69887.2026.11591631openalex-snapshot
Bridging the Speed-Accuracy Gap: Layout-Aware Pre-Silicon Side-Channel Analysis
inferred← citeshttps://doi.org/10.1109/host55342.2024.10545412openalex-snapshot
Photon Emission Modeling and Machine-Learning Assisted Pre-Silicon Optical Side-Channel Simulation
inferred← citeshttps://doi.org/10.1109/iccad57390.2023.10323883openalex-snapshot
EMSim+: Accelerating Electromagnetic Security Evaluation with Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11044219openalex-snapshot
Low-Clock Latency SDRR-Based AES
inferred← citeshttps://doi.org/10.1109/isocc62682.2024.10762019openalex-snapshot
Si-Backside Side-Channel Leakage Measurement and Simulation
inferred← citeshttps://doi.org/10.1109/itc-asia71864.2026.11710878openalex-snapshot
Diff4EM: Conditional Diffusion with Signal Decomposition for Pre-Silicon Electromagnetic Security Evaluation
inferred← citeshttps://doi.org/10.1109/ojsscs.2024.3499967openalex-snapshot
Si Substrate Backside—An Emerging Physical Attack Surface for Secure ICs in Flip Chip Packaging
inferred← citeshttps://doi.org/10.1109/paine58317.2023.10317979openalex-snapshot
Potential of Unsupervised Deep Learning for Detection of EM Side-Channel Attacks
inferred← citeshttps://doi.org/10.1109/tifs.2024.3483551openalex-snapshot
EMSim+: Accelerating Electromagnetic Security Evaluation With Generative Adversarial Network and Transfer Learning
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