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Name: lifewouldbebetter
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Name: lifewouldbebetter
Type: User
Side-channel Analysis
The reporitory contains scripts and data used in the paper <Advanced Far Field EM Side-Channel Attack on AES Based on Deep Learning>. This paper presents a deep learning-based side-channel attack on AES-128 using far field electromagnetic (EM) emissions as a side channel. Unlike power or near filed EM analysis, far field EM attacks do not require a close physical proximity to the device under attack. Our neural networks are trained on traces captured from five different Bluetooth devices and tested on five other Bluetooth devices. The training set is composed as a combination of ``clean'' traces, captured through a coaxial cable, and traces captured on a distance to device. Our best model can recover the key from less than 300 traces captured in an office environment at 15 m distance to device without repeating each encryption more than once.
ChipWhisperer - the complete open-source toolchain for side-channel power analysis and glitching attacks
A free and open source tool for Deep Learning Side Channel Analysis
Manage efficiently your heavy side-channel datasets with eShard library and process them with http://gitlab.com/eshard/scared. This is a mirror of estraces Gitlab repository. All contributions and merge request must be done through Gitlab project.
USB host add-on for the ChipWhisperer side-channel analysis tool
fast implementations of side channel analysis techniques, such as incremental correlation power analysis, differential power analysis, template attacks in time/freq. domains and post-processing steps (bandpass filtering, npt averaging etc).
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Side-Channel Analysis Library
Make your first side-channel attack on public datasets with eShard. This is a mirror of scared Gitlab repository. All contributions and merge request must be done through Gitlab project.
This is a project in which side-channel attacks are researched and developed.
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