Results 1 to 10 of about 3,050,509 (121)
Domain-Oriented Masked Bit-Parallel Finite-Field Multiplier Against Side-Channel Attacks
Information Processing Letters, 2023 Side-Channel Analysis(SCA) constitutes a serious threat to the security of implemented cryptosystems. In SCA, the attacker can obtain information leakage from a device executing cryptographic algorithms by means of the measure of side-channels such as power consumption, electromagnetic radiation and execution time.
José Luis Imaña Pascual +1 more
exaly +4 more sources
Glitch-Resistant Masking Revisited [PDF]
Transactions on Cryptographic Hardware and Embedded Systems, 2019 Implementing the masking countermeasure in hardware is a delicate task. Various solutions have been proposed for this purpose over the last years: we focus on Threshold Implementations (TIs), Domain-Oriented Masking (DOM), the Unified Masking Approach ...
Thorben Moos +3 more
doaj +2 more sources
Low-Latency Keccak at any Arbitrary Order
Transactions on Cryptographic Hardware and Embedded Systems, 2021 Correct application of masking on hardware implementation of cryptographic primitives necessitates the instantiation of registers in order to achieve the non-completeness (commonly said to stop the propagation of glitches). This sometimes leads to a high
Sara Zarei +4 more
doaj +1 more source
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment
CoRR, 2021 Motivated by the success of pre-trained language models such as BERT in a broad range of natural language processing (NLP) tasks, recent research efforts have been made for adapting these models for different application domains. Along this line, existing domain-oriented models have primarily followed the vanilla BERT architecture and have a ...
Denghui Zhang +6 more
openaire +2 more sources
ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking
Transactions on Cryptographic Hardware and Embedded Systems, 2021 Intellectual Property (IP) thefts of trained machine learning (ML) models through side-channel attacks on inference engines are becoming a major threat. Indeed, several recent works have shown reverse engineering of the model internals using such attacks,
Anuj Dubey +4 more
doaj +1 more source
Visual Attention Guided Pixel-Wise Just Noticeable Difference Model
IEEE Access, 2019 The just noticeable difference (JND) models in pixel domain are generally composed of luminance adaptation (LA) and contrast masking (CM), which takes edge masking (EM) and texture masking (TM) into consideration.
Zhipeng Zeng +5 more
doaj +1 more source
Generic Low-Latency Masking in Hardware
Transactions on Cryptographic Hardware and Embedded Systems, 2018 In this work, we introduce a generalized concept for low-latency masking that is applicable to any implementation and protection order, and (in its most extreme form) does not require on-the-fly randomness.
Hannes Gross +2 more
doaj +1 more source
Rhythmic Keccak: SCA Security and Low Latency in HW
Transactions on Cryptographic Hardware and Embedded Systems, 2018 Glitches entail a great issue when securing a cryptographic implementation in hardware. Several masking schemes have been proposed in the literature that provide security even in the presence of glitches.
Victor Arribas +4 more
doaj +1 more source
DPA Protected Implementation of OCB and COLM Authenticated Ciphers
IEEE Access, 2019 Authenticated ciphers are designed to provide two security requirements simultaneously, i.e. confidentiality and integrity. The CAESAR competition was ended with introducing six authenticated ciphers for several applications as the winners.
Mohsen Jahanbani +2 more
doaj +1 more source
Composable Masking Schemes in the Presence of Physical Defaults & the Robust Probing Model
Transactions on Cryptographic Hardware and Embedded Systems, 2018 Composability and robustness against physical defaults (e.g., glitches) are two highly desirable properties for secure implementations of masking schemes.
Sebastian Faust +4 more
doaj +1 more source