Description
Over the recent years, the cryptanalysis community leveraged the potential of research on Deep Learning to enhance attacks. In particular, several studies have recently highlighted the benefits of Deep Learning based Side-Channel Attacks (DLSCA) to target real-world cryptographic implementations. While this new research area on applied cryptography provides impressive result to recover a secret key even when countermeasures are implemented (e.g. desynchronization, masking schemes), the lack of theoretical results make the construction of appropriate models a notoriously hard problem. In this talk, we propose to investigate a new research axis in order to bridge Deep Learning and Side-Channel Attacks. In particular, we explain the similarities between the generative models and the classical profiled attack (i.e. template attacks, stochastic attacks), and we develop the first DLSCA model that can be fully explained from side-channel theoretical results. This model reduces the black-box property of DL and eases the architecture design for every real-world crypto-system. Finally, a discussion is provided to define the benefits and the limitations of this new solution and a new perspective is proposed for DLSCA models.
Infos pratiques
Prochains exposés
-
Advanced techniques for fault injection attacks on integrated circuits
Orateur : Paul Grandamme - Laboratoire Hubert Curien, Université Jean Monnet
The security of integrated circuits is evaluated through the implementation of attacks that exploit their inherent hardware vulnerabilities. Fault injection attacks represent a technique that is commonly employed for this purpose. These techniques permit an attacker to alter the nominal operation of the component in order to obtain confidential information. Firstly, we propose the utilisation of[…]-
SemSecuElec
-
Fault injection
-
-
PHOENIX : the first crypto-agile hardware solution for ML-KEM and HQC
Orateur : Antonio RAS
The security of the public-key cryptography protecting today and tomorrow's communication is threatened by the advent of quantum computers. To address this challenge, post-quantum cryptography is employed to devise new quantum-resistant cryptosystems. The National Institute of Standards and Technology (NIST), which led the quantum-safe transition, has already standardized the first lattice KEM[…]-
Cryptography
-
SemSecuElec
-
Hardware accelerator
-
-
Anomalies Mitigation for Horizontal Side Channel Attacks with Unsupervised Neural Networks
Orateur : Gauthier Cler - SERMA Safety & Security
The success of horizontal side-channel attacks heavily depends on the quality of the traces as well as the correct extraction of interest areas, which are expected to contain relevant leakages. If former is insufficient, this will consequently degrade the identification capability of potential leakage candidates and often render attacks inapplicable. This work assess the relevance of neural[…]-
SemSecuElec
-
Side-channel
-
Machine learning
-
-
Cryptanalytical extraction of complex Neural Networks in black-box settings
Orateur : Benoit COQUERET - INRIA, Thales CESTI
With the widespread development of artifical intelligence, Deep Neural Networks (DNN) have become valuable intellectual property (IP). In the past few years, software and hardware-based attacks targetting at the weights of the DNN have been introduced allowing potential attacker to gain access to a near-perfect copy of the victim's model. However, these attacks either fail against more complex[…]-
SemSecuElec
-
Side-channel
-
Machine learning
-
-
Fine-grained dynamic partitioning against cache-based side channel attacks
Orateur : Nicolas Gaudin - Trasna
The growth of embedded systems takes advantage of architectural advances from modern processors to increase performance while maintaining a low power consumption. Among these advances is the introduction of cache memory into embedded systems. These memories speed up the memory accesses by temporarily storing data close to the execution core. Furthermore, data from different applications share the[…]-
SemSecuElec
-
Micro-architectural vulnerabilities
-
Hardware architecture
-
-
Side-Channel Based Disassembly on Complex Processors: From Microachitectural Characterization to Probabilistic Models
Orateur : Julien Maillard - CEA
Side-Channel Based Disassembly (SCBD) is a category of Side-Channel Analysis (SCA) that aims at recovering information on the code executed by a processor through the observation of physical side-channels such as power consumption or electromagnetic radiations. While traditional SCA often targets cryptographic keys, SCBD focuses on retrieving assembly code that can hardly be extracted via other[…]-
SemSecuElec
-
Side-channel
-
Hardware reverse
-