Datasets used to develop my Master's Thesis Towards Efficient Training in Deep Learning Side-Channel Attacks at Politecnico di Milano. The datasets contain power consumption measurements taken from multiple STM32F4 devices (3) considering multiple keys (11) while executing AES-128. unprotected-AES.zip contains the traces related to the execution of a software unprotected implementation of AES-128. masked-AES.zip contains the traces related to the execution of a software masked implementation of AES-128
The sharing of hardware components in modern processors helps to achieve high performance and meet t...
Side channel attacks exploit physical information that leaks from a cryptographic device in order to...
Power side channel analysis signal analysis is automated using deep learning. Signal processing and ...
Datasets used to develop my Master's Thesis Towards Efficient Training in Deep Learning Side-Channel...
As more and more modern systems and products use built-in microcontrollers, hardware security become...
The appearance of deep neural networks for Side-Channel leads to strong power analysis techniques fo...
Hardware security is essential in keeping sensitive information private. Because of this, it’s imper...
Presented on October 18, 2019 at 12:00 p.m in the Krone Engineered Biosystems Building, room 1005.Ar...
Side-channel attacks (SCA) focus on vulnerabilities caused by insecure implementations and exploit t...
International audienceRecent works have demonstrated that deep learning algorithms were efficient to...
We present the first deep learning-based side-channel attack on AES-128 using far field electromagne...
Side-channel analysis (SCA) is a prominent tool to break mathematically secure cryptographic engines...
Recent studies have shown that deep learning algorithms are very effective for evaluating the securi...
When encryption algorithms are implemented at the physical level, information tends to leak through ...
Side-Channel Attacks (SCA) attempt to recover the secret cryptographic key from an electronic device...
The sharing of hardware components in modern processors helps to achieve high performance and meet t...
Side channel attacks exploit physical information that leaks from a cryptographic device in order to...
Power side channel analysis signal analysis is automated using deep learning. Signal processing and ...
Datasets used to develop my Master's Thesis Towards Efficient Training in Deep Learning Side-Channel...
As more and more modern systems and products use built-in microcontrollers, hardware security become...
The appearance of deep neural networks for Side-Channel leads to strong power analysis techniques fo...
Hardware security is essential in keeping sensitive information private. Because of this, it’s imper...
Presented on October 18, 2019 at 12:00 p.m in the Krone Engineered Biosystems Building, room 1005.Ar...
Side-channel attacks (SCA) focus on vulnerabilities caused by insecure implementations and exploit t...
International audienceRecent works have demonstrated that deep learning algorithms were efficient to...
We present the first deep learning-based side-channel attack on AES-128 using far field electromagne...
Side-channel analysis (SCA) is a prominent tool to break mathematically secure cryptographic engines...
Recent studies have shown that deep learning algorithms are very effective for evaluating the securi...
When encryption algorithms are implemented at the physical level, information tends to leak through ...
Side-Channel Attacks (SCA) attempt to recover the secret cryptographic key from an electronic device...
The sharing of hardware components in modern processors helps to achieve high performance and meet t...
Side channel attacks exploit physical information that leaks from a cryptographic device in order to...
Power side channel analysis signal analysis is automated using deep learning. Signal processing and ...