Autonomous Vehicles (AVs) operate in public areas without the intervention of a human driver. This vulnerable environment brings explicit safety requirements to the AV which must be considered in the systems development phase. Such safety critical systems must comply to the safety standard ISO26262 and shall contain mechanisms to detect and react on faults.The current approach in signal-oriented E/E architectures is to use microprocessors with lockstep mechanisms. Those processors execute the same calculation on multiple cores, thereby being able to detect faults. However, the increased safety level of those processors comes along with a limited amount of performance.This work contains a concept to overcome the problem of the limited performance by using a recent service-oriented E/E architecture (SOA). Therefore, the redundant processing is moved from local microprocessors to multiple processors on distributed machines which are connected with Ethernet. The integrity is ensured by the novel approach of "voters as a service" which shares each calculation result across both compute units and redundantly compares it.The general feasibility of the concept is shown by the realization as a systematic approach containing two use-cases. The experiment indicates promising results to overcome the problem of ensuring the integrity of compute intensive safety critical functions which require more performance than the classic lockstep microprocessors are able to provide.

The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate quickly. Despite their significant potential benefits, organizations often struggle to effectively work with data due to a lack of clear guidelines and best practices for potential issues that might arise. Drawing on our own experiences and insights from organizing +80 datathon challenges with +60 partnership organizations since 2016, we provide a guide that serves as a resource for organizers to navigate the data-related complexities of datathons. We apply our proposed framework to 10 case studies.

The growing dependence on software and the increasing complexity of such systems builds and feeds the attack surface for exploitable vulnerabilities. Security researchers put up a lot of effort to develop exploits and analyze existing exploits with the goal of staying ahead of the state-of-the-art in attacks and defenses. The urge for automated systems that operate at scale, speed and efficiency is therefore undeniable. Given their complexity and large user base, web browsers pose an attractive target. Due to various mitigation strategies, the exploitation of a browser vulnerability became a time consuming, multi-step task: creating a working exploit even from a crashing input is a resource-intensive task that can take a substantial amount of time to complete. In many cases, the input, which triggers a vulnerability follows a crashing path but does not enter an exploitable state.