Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Langendoerfer, A."'
Autor:
Lehniger, Kai, Langendörfer, Peter
This is a comment on "RIO: Return Instruction Obfuscation for Bare-Metal IoT Devices with Binary Analysis". RIO prevents finding gadgets for Return-Oriented Programming attacks by encrypting return instructions. This paper shows flaws in the design o
Externí odkaz:
http://arxiv.org/abs/2412.08257
Elliptic Curve Scalar Multiplication denoted as kP operation is the basic operation in all Elliptic Curve based cryptographic protocols. The atomicity principle and different atomic patterns for kP algorithms were proposed in the past as countermeasu
Externí odkaz:
http://arxiv.org/abs/2412.03218
This paper investigates the distinguishability of the atomic patterns for elliptic curve point doubling and addition operations proposed by Longa. We implemented a binary elliptic curve scalar multiplication kP algorithm with Longa's atomic patterns
Externí odkaz:
http://arxiv.org/abs/2409.11868
Security especially in the fields of IoT, industrial automation and critical infrastructure is paramount nowadays and a hot research topic. In order to ensure confidence in research results they need to be reproducible. In the past we reported [18] t
Externí odkaz:
http://arxiv.org/abs/2407.06760
Autor:
Petryk, Dmytro, Dyka, Zoya, Krstic, Milos, Bělohoubek, Jan, Fišer, Petr, Steiner, František, Blecha, Tomáš, Langendörfer, Peter, Kabin, Ievgen
Physical side-channel attacks represent a great challenge for today's chip design. Although attacks on CMOS dynamic power represent a class of state-of-the-art attacks, many other effects potentially affect the security of CMOS chips analogously by a
Externí odkaz:
http://arxiv.org/abs/2407.06758
Autor:
Hillemann, Markus, Langendörfer, Robert, Heiken, Max, Mehltretter, Max, Schenk, Andreas, Weinmann, Martin, Hinz, Stefan, Heipke, Christian, Ulrich, Markus
Neural Radiance Fields (NeRFs) have become a rapidly growing research field with the potential to revolutionize typical photogrammetric workflows, such as those used for 3D scene reconstruction. As input, NeRFs require multi-view images with correspo
Externí odkaz:
http://arxiv.org/abs/2405.04345
Towards Secure and Reliable Heterogeneous Real-time Telemetry Communication in Autonomous UAV Swarms
In the era of cutting-edge autonomous systems, Unmanned Aerial Vehicles (UAVs) are becoming an essential part of the solutions for numerous complex challenges. This paper evaluates UAV peer-to-peer telemetry communication, highlighting its security v
Externí odkaz:
http://arxiv.org/abs/2404.07557
The paper presents an experimental study of resilient path planning for con-tinuum robots taking into account the multi-objective optimisation problem. To do this, we used two well-known algorithms, namely Genetic algorithm and A* algorithm, for path
Externí odkaz:
http://arxiv.org/abs/2404.06178
Autor:
Shamilyan, Oxana, Kabin, Ievgen, Dyka, Zoya, Sudakov, Oleksandr, Cherninskyi, Andrii, Brzozowski, Marcin, Langendoerfer, Peter
Publikováno v:
IEEE Access, vol. 11, pp. 60988-61003, 2023
Many technical solutions are bio-inspired. Octopus-inspired robotic arms belong to continuum robots which are used in minimally invasive surgery or for technical system restoration in areas difficult-toaccess. Continuum robot missions are bounded wit
Externí odkaz:
http://arxiv.org/abs/2404.06171
Using sensors as a means to achieve self-awareness and artificial intelligence for decision-making, may be a way to make complex systems self-adaptive, autonomous and resilient. Investigating the combination of distributed artificial intelligence met
Externí odkaz:
http://arxiv.org/abs/2404.06159