1,721,203 research outputs found
Practical post-quantum cryptography
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208551.pdf (Publisher’s version ) (Open Access)Radboud University, 20 november 2019Promotor : Batina, L. Co-promotor : Schwabe, P.261 p
Smart invaders of private matters: Privacy of communication on the Internet and in the Internet of Things (IoT)
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175985.pdf (Publisher’s version ) (Open Access)Radboud University, 09 oktober 2017Promotor : Batina, L. Co-promotor : Hoepman, J.H.XXV, 203 p
No Time to Spare: Adversarial Machine Learning at Training and Inference Time
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326242.pdf (Publisher’s version ) (Open Access)Radboud University, 12 januari 2026Promotor : Batina, L. Co-promotor : Picek, S.177 p
Physical Security Analysis of Embedded Devices
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158436.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit, 05 juli 2016Promotor : Jacobs, B.P.F. Co-promotor : Batina, L.149 p
HW/SW Co-design of TA/SPA-resistant Public-key Cryptosystems
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127469.pdf (Author’s version preprint ) (Open Access)CRASH 200
Interactive Side-Channel Analysis
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218980.pdf (Publisher’s version ) (Open Access)The modern, always-online world relies on numerous electronic devices. Ensuring the unobstructed operation of transactions is quintessential, yet non-trivial to achieve. Devices operate in resource-constraint environments, often trying to achieve security with very narrow margins. Physical attacks such as side-channel cryptanalysis and fault injection pose a serious threat against their security. Techniques such as Differential Power Analysis and Template Attacks exploit physical observables of embedded targets, compromising cryptography in otherwise secure mathematical ciphers. To meet the security needs of our society, numerous countermeasures have been deployed.
Masking and shuffling rank among the most popular choices, yet they do not come for free. Deploying them can make the implementation cost prohibitive, leading to situations where only partially secure products are used in the field. Therefore, this thesis puts forward the following contribution points.
First, it develops efficient masking and shuffling countermeasures. To do so, it relies on high speed assembly-based implementations that push the limit of ARM/AVR devices. It also investigates closely the security level, aiming to remove leakage effects that hinder countermeasures.
Second, instead of viewing countermeasures as isolated components, it promotes a holistic approach that examines the interactions between countermeasures, security and performance of a cryptographic implementation. Through information-theoretic analysis, we establish the tradeoff between randomness and masking/shuffling countermeasures, culminating in Reduced Randomness Masking/Shuffling schemes. Likewise, we link the fault injection resistance of duplication, infective protection and build-in fault detection to the side-channel security. Such tradeoffs can assist the designer and result in effective, yet affordable security.
Third, it integrates new attack vectors to the existing arsenal. It inspects closely the location-based attacks on ARM devices and assesses their real-world impact. Concurrently, we take steps towards modeling location leakage, aiming to understand its root cause and once again to establish tradeoffs between attack parameters and attack impact.Radboud University, 26 mei 2020Promotor : Batina, L.210 p
Beyond the Security of Deep Learning: An Exploration of Stealthy Backdoor Attacks in Computer Vision
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319701.pdf (Publisher’s version ) (Open Access)This thesis investigates the security of deep learning systems, with a particular focus on backdoor attacks—a form of data poisoning where models behave normally under typical inputs but produce attacker-controlled outputs when a specific trigger is present. The research systematically analyzes the effectiveness and stealthiness of such attacks across a range of modern machine learning settings, including convolutional neural networks, spiking neural networks with neuromorphic data, vision transformers, and federated learning systems. The findings show that backdoor success depends heavily on trigger design, model architecture, and training conditions. Larger models and those trained from scratch tend to be more vulnerable. In decentralized and neuromorphic contexts, novel attack strategies are introduced that exploit the structure of data and training workflows, achieving high attack success rates while remaining undetected. The evaluation of common defenses reveals that many are ineffective against more sophisticated or context-specific attacks. Overall, the work highlights the growing complexity of securing machine learning systems and the need for defense mechanisms that are robust across architectures, data modalities, and deployment scenarios.Radboud University, 23 juni 2025Promotor : Batina, L. Co-promotores : Picek, S., Urbieta, A.xix, 274 p
Artificial Intelligence for the Design of Symmetric Cryptographic Primitives
No full textThis chapter provides a general overview of AI methods used to support the design of cryptographic primitives and protocols. After giving a brief introduction to the basic concepts underlying the field of cryptography, we review the most researched use cases concerning the use of AI techniques and models to design cryptographic primitives, focusing mainly on Boolean functions, S-boxes and pseudorandom number generators. We then point out two interesting directions for further research on the design of cryptographic primitives where AI methods could be applied in the future.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
The (in)security of proprietary cryptography
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140089.pdf (Publisher’s version ) (Open Access)Proprietary cryptography is a term used to describe custom encryption
techniques that are kept secret by its designers to add additional security. It is questionable if such an approach increases the cryptographic strength of the underlying mathematical algorithms. The security of proprietary encryption techniques relies entirely on the competence of the semi - conductor companies, which keep the technical description strictly confidential after designing. It
is difficult to give a public and independent security assessment of the
cryptography, without having access to the detailed information of the design.
The first part of this dissertation is dedicated to an introduction of the
general field of computer security and cryptography. It includes an extensive description of the theoretical background that refers to related literature and gives a summary of well - known cryptographic at
tack techniques. Additionally, a broad summary of related scientific research on proprietary cryptography is given. Finally, the technical part of this doctoral dissertation presents serious weaknesses in widely deployed proprietary cryptosystems, which are still actively used by billions of consumers in their daily lives.Radboud Universiteit Nijmegen, 21 april 2015Promotores : Jacobs, Bart, Verbauwhede, I. Co-promotores : Batina, L., Martinez, C.D.XXII, 283 p
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