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Leonie Wolf

Publications and source records attributed to Leonie Wolf.

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Practical Evaluation of the Crypto-Agility Maturity Model

Cryptographic agility is a key prerequisite for maintaining the long-term security of digital communication, particularly in light of the transition to post-quantum cryptography. To systematically assess this capability, Hohm et al. proposed the Crypto Agility Maturity Model (CAMM). In this work, we present the first evaluation of the CAMM against established design principles for maturity models. Our analysis reveals that the CAMM only partially satisfies these principles: its scope and target groups remain ambiguous; acceptance criteria are insufficiently operationalized, limiting verifiability and replicability; and dependency relations exhibit redundancies, cycles, and omissions. Applying the CAMM to a simple real-world scenario further confirmed these issues, as several requirements at higher maturity levels proved inapplicable or unclear. Based on these findings, we propose concrete improvements to the CAMM to enable more consistent and reliable assessments of cryptographic agility.

cs.CR

Heterogeneous computing platform for real-time robotics

After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient and reliable production, a new concept of Society 5.0 is emerging, in which infrastructure of a city will be instrumented to increase reliability, efficiency, and safety. Robotics will play a pivotal role in enabling this vision that is pioneered by the NEOM initiative - a smart city, co-inhabited by humans and robots. In this paper we explore the computing platform that will be required to enable this vision. We show how we can combine neuromorphic computing hardware, exemplified by the Loihi2 processor used in conjunction with event-based cameras, for sensing and real-time perception and interaction with a local AI compute cluster (GPUs) for high-level language processing, cognition, and task planning. We demonstrate the use of this hybrid computing architecture in an interactive task, in which a humanoid robot plays a musical instrument with a human. Central to our design is the efficient and seamless integration of disparate components, ensuring that the synergy between software and hardware maximizes overall performance and responsiveness. Our proposed system architecture underscores the potential of heterogeneous computing architectures in advancing robotic autonomy and interactive intelligence, pointing toward a future where such integrated systems become the norm in complex, real-time applications.

cs.NE