A Secure Satellite-Edge Computing Framework for Collaborative Line Outage Identification in Smart Grid

作者：Qinglei Kong, Xiaodong Qu, Songnian Zhang, Feng Yin, Rongxing Lu, Bo Chen · 发表于：IEEE Transactions on Services Computing · 年份：2023 · DOI：10.1109/tsc.2023.3322432 · 被引用次数：14 · 研究领域：Cryptography and Data Security、Satellite Communication Systems、Cryptographic Implementations and Security

The low Earth orbit (LEO) satellite edge computing paradigm provides remote sites with flexible, reliable, and scalable edge computing capabilities. Characterized by the orbital motion patterns and harsh space environments, the LEO satellite edge computing faces unique security challenges in terms of the secure collaboration of multiple satellites and the intellectual property protection of models. Under the unique space environment and security demands, we propose a secure satellite edge computing framework in this paper. By taking a remote electricity line outage identification use case as an example, our framework first achieves the secure delegation of the line outage identification task among multiple satellites, which is realized through a secure query$(\mathsf {SQuery})$scheme to check the availability of the target time slot. Meanwhile, we also design a SHE-enabled secure inner-product encryption ($\mathsf {SSIPE}$) protocol, to achieve the secure multinomial logistic regression (MLR) based line outage identification on-orbit. To reduce the complexity brought by the computationally intensive homomorphic multiplication between two ciphertexts, we further grasp the idea and design a “divide-and-conquer” based secure query ($\mathsf {DSQuery}$) scheme, which converts this homomorphic multiplication operation between ciphertexts into the homomorphic addition operation. As far as we know, this is the first scheme investigating the secure task delegation among different sat...