90 Result(s)

Chapter and Conference Paper

PROACT - Physical Attack Resistance of Cryptographic Algorithms and Circuits with Reduced Time to Market

Electronic devices that populate the Internet of Things play increasingly important roles in our everyday lives. When these devices process, store, or communicate personal or company-critical data, digital sec...

Asmita Adhikary, Abraham Basurto… in Applied Reconfigurable Computing. Architec… (2024)

Chapter and Conference Paper

CNN Architecture Extraction on Edge GPU

Neural networks have become popular due to their versatility and state-of-the-art results in many applications, such as image classification, natural language processing, speech recognition, forecasting, etc. ...

Péter Horváth, Lukasz Chmielewski… in Applied Cryptography and Network Security … (2024)

Chapter and Conference Paper

Everything All at Once: Deep Learning Side-Channel Analysis Optimization Framework

Deep learning is becoming an increasingly proficient tool for side-channel analysis. While deep learning has been evolving around the tasks of image and speech recognition for decades, it is still lacking matu...

Gabriele Serafini, Léo Weissbart… in Applied Cryptography and Network Security … (2024)

Article

Keep it unbiased: a comparison between estimation of distribution algorithms and deep learning for human interaction-free side-channel analysis

Evaluating side-channel analysis (SCA) security is a complex process, involving applying several techniques whose success depends on human engineering. Therefore, it is crucial to avoid a false sense of confid...

Unai Rioja, Lejla Batina, Igor Armendariz… in Journal of Cryptographic Engineering (2023)

Living Reference Work Entry In depth

Side-Channel Attacks

Lejla Batina, Ileana Buhan in Encyclopedia of Cryptography, Security and Privacy

Chapter and Conference Paper

ROCKY: Rotation Countermeasure for the Protection of Keys and Other Sensitive Data

Fault attacks exploit the possibility to inject a fault in an electronic device, during the execution of a cryptographic algorithm, leading the device to erroneous operation(s). An adversary can exploit these...

Konstantina Miteloudi, Lejla Batina… in Embedded Computer Systems: Architectures, … (2022)

Chapter

On Implementation-Level Security of Edge-Based Machine Learning Models

In this chapter, we are considering the physical security of Machine Learning (ML) implementations on Edge Devices. We list the state-of-the-art known physical attacks, with the main attack objectives to rever...

Lejla Batina, Shivam Bhasin, Jakub Breier… in Security and Artificial Intelligence (2022)

Chapter and Conference Paper

Fake It Till You Make It: Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices

Deep learning-based side-channel analysis performance heavily depends on the dataset size and the number of instances in each target class. Both small and imbalanced datasets might lead to unsuccessful side-ch...

Naila Mukhtar, Lejla Batina, Stjepan Picek… in Topics in Cryptology – CT-RSA 2022 (2022)

Chapter and Conference Paper

Machine-Learning Assisted Side-Channel Attacks on RNS ECC Implementations Using Hybrid Feature Engineering

Machine learning-based side-channel attacks have recently been introduced to recover the secret information from protected software and hardware implementations. Limited research exists for public-key algorith...

Naila Mukhtar, Louiza Papachristodoulou… in Constructive Side-Channel Analysis and Sec… (2022)

Chapter and Conference Paper

Deep Neural Networks Aiding Cryptanalysis: A Case Study of the Speck Distinguisher

At CRYPTO’19, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64, achieving better results than the state-of-the-art at that point. However, the motivation for using that partic...

Norica Băcuieți, Lejla Batina, Stjepan Picek in Applied Cryptography and Network Security (2022)