Description
In this talk, we will discuss software-induced hardware attacks and their impact for IoT, cloud and mobile security. More specifically, I will introduce SideLine, a new power side-channel attack vector that can be triggered remotely to infer cryptographic secrets. SideLine is based on the intentional misuse of delay-lines components embedded in SoCs that use external memory. I will explain how we exploit the delay-line relationship with on-chip power consumption to capture side-channel leakage, how we collect and store this information and how we use it to conduct power side-channel attacks. Different scenarios will be discussed along with the feasibility of remote hardware attacks in various scenarios.
Next sessions
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Cryptanalytical extraction of complex Neural Networks in black-box settings
Speaker : 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
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Side-channel
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Machine learning
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Speaker : 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
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Fault injection
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PHOENIX: Crypto-Agile Hardware Sharing for ML-KEM and HQC, hardware implementation of a PQC accelerator
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SemSecuElec
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Speaker : 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[…]-
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Side-channel
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Machine learning
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Speaker : 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
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Side-channel
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Hardware reverse
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