Yuejie Wang (Peking University), Qiutong Men (New York University), Yongting Chen (New York University Shanghai), Jiajin Liu (New York University Shanghai), Gengyu Chen (Carnegie Mellon University), Ying Zhang (Meta), Guyue Liu (Peking University), Vyas Sekar (Carnegie Mellon University)

Enterprises are increasingly outsourcing network management (e.g., troubleshooting routing issues) to reduce cost and improve efficiency, either by hiring third-party contractors or by outsourcing to third-party vendors. Unfortunately, recent events have shown that this outsourcing model has become a new source of network incidents in customer networks. In this work, we argue that a risk-aware outsourcing approach is needed that enables customers to measure and assess risk transparently and make informed decisions to minimize harm. We first concretely define the notion of risk in the context of outsourced network management and then present an end-to-end framework, called Heimdall, which enables enterprises to assess, monitor, and respond to risk. Heimdall automatically builds a dependency graph to accurately assess the risk of an outsourced task, and uses a fine-grained reference monitor to monitor and mitigate potential risks during operation. Our expert validation results show that Heimdall effectively controls risk for outsourced network operations, resolving 92% of practical issues at the minimal risk level while incurring only a marginal timing overhead of approximately 7%.

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Yanzuo Chen (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Sihang Hu (Huawei Technologies), Tianxiang Li (Huawei Technologies), Shuai Wang (The Hong Kong University of Science and Technology)

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Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

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Kushal Babel (Cornell Tech & IC3), Andrey Chursin (Mysten Labs), George Danezis (Mysten Labs & University College London (UCL)), Anastasios Kichidis (Mysten Labs), Lefteris Kokoris-Kogias (Mysten Labs & IST Austria), Arun Koshy (Mysten Labs), Alberto Sonnino (Mysten Labs & University College London (UCL)), Mingwei Tian (Mysten Labs)

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