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An increasingly collaborative and distributed nature of scientific collaborations, along with the exploding volume and variety of datasets point to an urgent need for data publication frameworks that allow researchers to publish data rapidly and reliably. However, current scientific data publication solutions only support any one of these requirements at a time. Currently, the most common data publication models are either centralized or ad-hoc. While the centralized model (e.g., publishing via a repository controlled by a central organization) can provide reliability through replication, the publication speed tends to be slower due to the inevitable curation and processing delays. Further, such centralized models may place restrictions regarding what data can be published through them. On the contrary, adhoc models lead to concerns such as the lack of replication and a robust security model. We present Hydra, a peer-to-peer, decentralized storage system that enables decentralized and reliable data publication capabilities. Hydra enables collaborating organizations to create a loosely interconnected and federated storage overlay atop community provided storage servers. The Hydra overlay is entirely decentralized. Hydra enables secure publication and access to data from anywhere and ensures automatic replication of published data, enhancing availability and reliability. Hydra also makes replication decisions without a central controller while accommodating local policies. Hydra embodies a significant stride toward next-generation scientific data management, fostering a decentralized, reliable, and accessible system that fits the changing landscape of scientific collaborations. 

As in-vehicle communication becomes more complex, the automotive community is exploring various architectural options such as centralized and zonal architectures for their numerous benefits. Common characteristics of these architectures include the need for high-bandwidth communication and security, which have been elusive with standard automotive architectures. Further, as automotive communication technologies evolve, it is also likely that multiple link-layer technologies such as CAN and Automotive Ethernet will co-exist. These alternative architectures promise to integrate these diverse sets of technologies. However, architectures that allow such co-existence have not been adequately explored. In this work we explore a new network architecture called Named Data Networking (NDN) to achieve multiple goals: provide a foundational security infrastructure and bridge different link layer protocols such as CAN, LIN, and automotive Ethernet into a unified communication system. We have created a proof-of-concept bench-top testbed using CAN HATS and Raspberry PIs that replay real traffic over CAN and Ethernet to demonstrate how NDN can provide a secure, high-speed bridge between different automotive link layers. We also show how NDN can support communication between centralized or zonal high-power compute components. Security is achieved through digitally signing all Data packets between these components, preventing unauthorized ECUs from injecting arbitrary data into the network. We also demonstrate NDN's ability to prevent DoS and replay attacks between different network segments connected through NDN.