Fraunhofer-Publica
The Fraunhofer-Publica has been successfully documenting the research results of the Fraunhofer-Gesellschaft for over 30 years. The platform enables the collaborative linking of research-relevant objects and disseminates within the international scientific community.
The Fraunhofer-Publica thus fulfils its responsibility to promote the transfer of knowledge and know-how to industry and society.
Categories
Research outputs
As an application-oriented research organisation, Fraunhofer aims to conduct highly innovative and solution-oriented research - for the benefit of society and to strengthen the German and European economy.
Projects
Fraunhofer is tackling the current challenges facing industry head on. By pooling their expertise and involving industrial partners at an early stage, the Fraunhofer Institutes involved in the projects aim to turn original scientific ideas into marketable products as quickly as possible.
Researchers
Scientific achievement and practical relevance are not opposites - at Fraunhofer they are mutually dependent. Thanks to the close organisational links between Fraunhofer Institutes and universities, science at Fraunhofer is conducted at an internationally first-class level.
Institutes
The Fraunhofer-Gesellschaft is the leading organisation for applied research in Europe. Institutes and research facilities work under its umbrella at various locations throughout Germany.
Recent Additions
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PublicationFactor Graph-Based Dense Mapping for Mobile Robot Teams Using VDB-Submaps( 2024)A large number of works exist in the field of mobile robot based simultaneous localization and mapping. While the original SLAM problem has been considered solved for years, there still exist various environments, use cases, or robot configurations which require new approaches in order to successfully perform the task. This work addresses how a group of mobile robots can collaboratively create a dense 3D map that is globally consistent and accounts for uncertainties in measurement data and estimates. The main challenge is a compact representation of the robot-local submaps in order to minimize the data flow as well as a fast and accurate merging scheme to create a consistent global map. We leverage OpenVDB as underlying data structure to efficiently create submaps which are then fused in a factor graph-based backend. We extensively test and evaluate the framework and show that it is capable of creating dense 3D maps of challenging environments in real-time.
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PublicationBreaking the Quadratic Barrier: Quantum Cryptanalysis of Milenage, Telecommunications’ Cryptographic Backbone( 2023)The potential advent of large-scale quantum computers in the near future poses a threat to contemporary cryptography. One ubiquitous usage of cryptography is currently present in the vibrant field of cellular networks. The cryptography of cellular networks is centered around seven secret-key algorithms f1, . . . , f5, f ∗1 , f ∗5 , aggregated into an authentication and key agreement algorithm set. Still, to the best of our knowledge, these secret key algorithms have not yet been subject to quantum cryptanalysis. Instead, many quantum security considerations for telecommunication networks argue that the threat posed by quantum computers is restricted to public-key cryptography. However, various recent works have presented quantum attacks on secret key cryptography that exploit quantum period finding to achieve more than a quadratic speedup compared to the best known classical attacks. Motivated by this quantum threat to symmetric cryptography, this paper presents a quantum cryptanalysis for the Milenage algorithm set, the prevalent instantiation of the seven secret-key f1, . . . , f5, f∗ 1 , f∗ 5 algorithms that underpin cellular security. Building upon recent quantum cryptanalytic results, we show attacks that go beyond a quadratic speedup. Concretely, we provide quantum attack scenarios for all Milenage algorithms, including exponential speedups distinguishable by different quantum attack models. Our results do not constitute an immediate quantum break of the Milenage algorithms, but they do show that Milenage suffers from structural weaknesses making it susceptible to quantum attacks.
Most viewed
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PublicationTailoring the MontiArcAutomaton Component & Connector ADL for Generative Development( 2015)Component & connector (C&C) architecture description languages (ADLs) combine component-based software engineering and model-driven engineering to increase reuse and to abstract from implementation details. Applied to robotics application development, current C&C ADLs often require domain experts to provide component behavior descriptions as programming language artifacts or as models of a-priori fixed behavior modeling languages. They are limited to specific target platforms or require extensive handcrafting to transform platform-independent software architecture models into platform-specific implementations. We have developed the MontiArcAutomaton framework that combines structural extension of C&C concepts with integration of application-specific component behavior modeling languages, seamless transformation from logical into platform-specific software architectures, and a-posteriori black-box composition of code generators for different robotics platforms. This paper describes the roles and activities for tailoring MontiArcAutomaton to application-specific demands.
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