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RAESCY: A power side channel assessment framework for pre and post-silicon evaluation

Muntenaar, Laura (author)

Demand for smart, Internet-connected devices and other electronics has increased dramatically in recent years. This increase in demand for technological devices, driven by advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and autonomous systems, has exposed the digital system to potential security threats. As more...

master thesis 2023

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On the real-world security of cryptographic primitives: From theory to practice

Najm, Z. (author)

doctoral thesis 2023

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Securing an Efficient Lightweight AES Accelerator

Huang, Ruoyu (author)

Internet of Things (IoT) devices regularly process sensitive data, including personal information. Therefore, ensuring their security is crucial to avoid damage and prevent data breaches. The Advanced Encryption Standard (AES) is generally regarded as one of the most popular cryptographic algorithms for ensuring data security. Typical...

master thesis 2023

document

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA

Perin, G. (author), Wu, L. (author), Picek, S. (author)

The adoption of deep neural networks for profiling side-channel attacks opened new perspectives for leakage detection. Recent publications showed that cryptographic implementations featuring different countermeasures could be broken without feature selection or trace preprocessing. This success comes with a high price: an extensive...

journal article 2023

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Study Of The Impact Of Side-channel Attacks On Software Defined Networks

de Los Santos Subirats, Alex (author)

Software-Defined Networks (SDNs) are a promising new network design paradigm that allows for better control of the network. But as with any new software implementation, there are new security concerns that arise. In the past there have been various papers covering specific side-channel attacks on SDNs; most of them consist of either using time...

bachelor thesis 2022

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Neuroevolution Applied to Profiled Side-Channel Attacks

Schijlen, Fiske (author)

Side-channel attacks (SCA) can obtain secret information related to the private key used during encryption executed on some device by exploiting leakage in power traces produced by the device. In recent years, researchers found that a neural network (NN) can be employed to execute a powerful profiled SCA, even on targets protected with...

master thesis 2022

document

Is RISC-V ready for Space? A Security Perspective

Cassano, Luca (author), Di Mascio, S. (author), Palumbo, Alessandro (author), Menicucci, A. (author), Furano, Gianluca (author), Bianchi, Giuseppe (author), Ottavi, Marco (author)

Integrated circuits employed in space applications generally have very low-volume production and high performance requirements. Therefore, the adoption of Commercial-Off-The-Shelf (COTS) components and Third Party Intellectual Property cores (3PIPs) is of extreme interest to make system design, implementation and deployment cost-effective and...

conference paper 2022

document

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

Mukhtar, Naila (author), Batina, Lejla (author), Picek, S. (author), Kong, Yinan (author)

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-channel attacks. The attack performance can be improved by generating traces synthetically from the obtained data instances instead of...

conference paper 2022

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Analysis of Cache Attacks and Countermeasures on the ρ-­VEX Processor

Verrer, Daan (author)

Modern implementations of encryption algorithms on CPU’s that use frequent memory lookups of precomputed functions, are vulnerable to Cache based Side­Channel Attacks. The ρ­-VEX processor, a runtime reconfigurable VLIW processor developed at the Computer and Quantum Engineering department at the TU Delft was identified to possibly allow for...

master thesis 2021

document

Semi-Supervised Learning In Side-Channel Attacks

Slooff, Tom (author)

One of the most potent attacks against cryptographic implementations nowadays is side-channel attacks. Side-channel attacks use unintended leakages in the implementation, for example, electromagnetic radiation, to retrieve the secret key. Over time side-channel attacks have become more powerful, and recently the community has shifted towards...

master thesis 2021

document

Side-channel Attacks on Inner Rounds of AES and PRESENT: A deeper look into the inner rounds of SPN based block ciphers and how this vision can help us attack the intermediate bytes using Deep Learning

Swaminathan, Sudharshan (author)

Side-channel attacks (SCA) focus on vulnerabilities caused by insecure implementations and exploit them to deduce useful information about the data being processed or the data itself through leakages obtained from the device. There have been many studies exploiting these side-channel leakages, and most of the state-of-the-art attacks have been...

master thesis 2021

document

Adversarial Examples as a defense against Side-Channel Attacks: A novel approach for countermeasure design

Korpas Kamarianos, Alexandros (author)

Over the last decades, side-channel attacks (SCAs) have been proven as a substantial weakness of cryptographic devices, while the recent growth of deep learning (DL) dramatically improved the performance of SCA. More and more researches present ways to build lightweight deep neural network (DNN) models that can retrieve the secret encryption key...

master thesis 2021

document

Side-channel analysis with graph neural networks

de Bruijn, Vasco (author)

In cyber security, side-channel attacks (SCA) are of interest because they target the vulnerabilities in implementation rather than inherent vulnerabilities in the algorithm. Profiled SCA is especially interesting as it assumes that the adversary has unlimited access to a clone device that can generate sufficient traces to create a profile of...

master thesis 2021

document

Applying Thermal Side-Channel Attacks on Asymmetric Cryptography

Aljuffri, A.A.M. (author), Zwalua, Marc (author), Reinbrecht, Cezar (author), Hamdioui, S. (author), Taouil, M. (author)

Side-channel attacks (SCAs) are powerful attacks that could be used to retrieve keys from electronic devices. Several physical leakage sources can be exploited in SCAs, such as power, time, heat, and so on. Heat is one of the side-channels that is not frequently analyzed by attackers in the literature due to the high noise associated with...

journal article 2021

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A Literature Study into Hyperparameter Systematization for Deep Learning-based Side-Channel Analysis

Mulder, Doreen (author)

With the recent increase in computational power, deep learning is being applied in many different fields. Deep learning has produced promising results in the field of side-channel analysis. However, the algorithms used to construct deep neural networks remain black boxes, which makes it hard to fully employ the capabilities of attacks performed...

bachelor thesis 2020

document

Search space reduction of asynchrony immune cellular automata

Mariot, L. (author), Manzoni, Luca (author), Dennunzio, Alberto (author)

We continue the study of asynchrony immunity in cellular automata (CA), which can be considered as a generalization of correlation immunity in the case of vectorial Boolean functions. The property could have applications as a countermeasure for side-channel attacks in CA-based cryptographic primitives, such as S-boxes and pseudorandom number...

journal article 2020

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Guard-NoC: A protection against side-channel attacks for MPSoCs

Reinbrecht, Cezar (author), Aljuffri, A.A.M. (author), Hamdioui, S. (author), Taouil, M. (author), Forlin, Bruno E. (author), Sepulveda, Johanna (author)

Multi-Processor System-on-Chips (MPSoCs) are popular computational platforms for a wide variety of applications due to their energy efficiency and flexibility. Like many other platforms they are vulnerable to Side Channel Attacks (SCAs). In particular, Logical SCAs (LSCAs) are very powerful as sensitive information can be retrieved by simply...

conference paper 2020

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An Analysis of Deep Learning Based Profiled Side-channel Attacks: Custom Deep Learning Layer, CNN Hyperparameters for Countermeasures, and Portability Settings

Tubbing, Rico (author)

A side-channel attack (SCA) recovers secret data from a device by exploiting unintended physical leakages such as power consumption. In a profiled SCA, we assume an adversary has control over a target and copy device. Using the copy device the adversary learns a profile of the device. With the profile, the adversary exploits the measurements...

master thesis 2019

document

Interpreting Information of Deep Neural Networks for Profiled Side Channel Analysis

Pop, Marius (author)

Security has become ever more important in today's quickly growing digital world as the number of digital assets has quickly grown. Our thesis focuses on devices that compute a secure cryptographic operation such that information can be communicated or authenticated. The attack vector utilized is known as Profiled Side-Channel Analysis (SCA)...

master thesis 2019

document

S-Net, A Neural Network Based Countermeasure for AES

Venkatachalam, Pradeep (author)

Hardware implementations of encryption schemes are unprotected against side-channel analysis techniques. Physical realizations of secure algorithms leak side-channel information through power, noise, time, sound and electromagnetic radiation. Data-dependent correlations with this leakage are exploited to obtain secret information. Power analysis...

master thesis 2019