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  5. In the era of cloud computing and big data analysis, how to efficiently share and utilize medical information scattered across various care providers has become a critical problem. This paper proposes a new framework for sharing medical data in a secure and privacy-preserving way. This framework holistically integrates multi-authority attribute based encryption, blockchain and smart contract, as well as software defined networking to define and enforce sharing policies. Specifically in our framework, patients' medical records are encrypted and stored in hospital databases, where strict access controls are enforced with attribute based encryption coupled with privacy level classification. Our framework leverages blockchain technology to connect scattered private databases from participating hospitals for efficient and secure data provision, smart contracts to enable the business logic of clinical data usage, and software defined networking to revoke sharing privileges. The performance evaluation of our prototype demonstrates that the associated computation costs are reasonable in practice. 
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  6. Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, conventional network measurement software tools are inadequate in high-speed network at scale. They also lack an event-driven mechanism to automate complex network measurement process. In this paper, we present Edi-son which contains an high performance measurement backend (Ares) to collect flow metrics, driven with an expressive frontend (Equery) to enable the composition of complex measurement tasks. Finally, we evaluate the effectiveness of our Edison framework on a distributed measurement platform deployed for 100Gbps international research networks. 
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