LFVeri: Network Configuration Verification for Virtual Private Cloud Networks

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Kun Wang;Chengcheng Zhao;Jinpei Chu;Yiping Shi;Jianyuan Lu;Biao Lyu;Shunmin Zhu;Peng Cheng;Jiming Chen
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引用次数: 0

Abstract

The Virtual Private Cloud (VPC) service enables users to configure shared resources within public clouds on demand, providing isolation between users. However, configuring the VPC network is a complex and error-prone task, and misconfiguration has been the leading cause of cloud network security issues. The large number of complex network components and configurations makes it difficult to perform scalable, efficient, and accurate fault verification of the network behavior. To address this issue, we design a comprehensive and automated fault diagnosis and localization tool, called LFVeri , which is built upon an innovative modular network model that accurately captures the logic functions of real components within VPC networks, and propose eleven functions to verify network reachability and security requirements. We conduct performance testing of LFVeri on various datasets and compared it with other verification tools. The experiments show that LFVeri outperforms in modeling and analyzing real VPC scenarios while also possessing the fastest verification speed. It can model and analyze large VPC networks with tens of thousands of components and millions of configuration rules in less than half an hour.
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来源期刊
IEEE/ACM Transactions on Networking
IEEE/ACM Transactions on Networking 工程技术-电信学
CiteScore
8.20
自引率
5.40%
发文量
246
审稿时长
4-8 weeks
期刊介绍: The IEEE/ACM Transactions on Networking’s high-level objective is to publish high-quality, original research results derived from theoretical or experimental exploration of the area of communication/computer networking, covering all sorts of information transport networks over all sorts of physical layer technologies, both wireline (all kinds of guided media: e.g., copper, optical) and wireless (e.g., radio-frequency, acoustic (e.g., underwater), infra-red), or hybrids of these. The journal welcomes applied contributions reporting on novel experiences and experiments with actual systems.
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