Lune

NSDI2022顶会

IMap: Fast and Scalable In-Network Scanning with Programmable Switches

Guanyu Li, Menghao Zhang, Cheng Guo, Han Bao, Mingwei Xu, Hongxin Hu, Fenghua Li

出版方
2022年份
14被引次数
8顶会引用

摘要

Network scanning has been a standard measurement technique to understand a network's security situations, e.g., revealing security vulnerabilities, monitoring service deployments. However, probing a large-scale scanning space with existing network scanners is both difficult and slow, since they are all implemented on commodity servers and deployed at the network edge. To address this, we introduce IMap, a fast and scalable in-network scanner based on programmable switches. In designing IMap, we overcome key restrictions posed by computation models and memory resources of programmable switches, and devise numerous techniques and optimizations, including an address-random and rate-adaptive probe packet generation mechanism, and a correct and efficient response packet processing scheme, to turn a switch into a practical high-speed network scanner. We implement an open-source prototype of IMap, and evaluate it with extensive testbed experiments and real-world deployments in our campus network. Evaluation results show that even with one switch port enabled, IMap can survey all ports of our campus network (i.e., a total of up to 25 billion scanning space) in 8 minutes. This demonstrates a nearly 4 times faster scanning speed and 1.5 times higher scanning accuracy than the state of the art, which shows that IMap has great potentials to be the next-generation terabit network scanner with all switch ports enabled. Leveraging IMap, we also discover several potential security threats in our campus network, and report them to our network administrators responsibly.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper8

问问它们各自怎么用它

它引用的顶会 Paper6

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖