activity
20182026
most citedEvaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

191 citations · 199 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2026

TORCH: Characterizing Invalid Route Filtering via Tunnelled Observation

Renrui Tian, Yahui Li, Xia Yin +3

To mitigate BGP prefix hijacking, the Resource Public Key Infrastructure (RPKI) provides prefix origin authentication via Route Origin Validation (ROV). Despite extensive measureme…

cs.NI2024

Is it a Real CD Mismatch in Interdomain Routing?

Sun Letong, Shi Xingang, Han Fengyan +3

In inter-domain routing, a packet is not always forwarded along the Autonomous System (AS) level path determined by the BGP routing protocol. This is often called control-plane and…

cs.NI2022

Your Router is My Prober: Measuring IPv6 Networks via ICMP Rate Limiting Side Channels

Long Pan, Jiahai Yang, Lin He +4

Active Internet measurements face challenges when some measurements require many remote vantage points. In this paper, we propose a novel technique for measuring remote IPv6 networ…

cs.CR2020★ 191 cited

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

Dongqi Han, Zhiliang Wang, Ying Zhong +5

Machine learning (ML), especially deep learning (DL) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS). However, ML/DL has shown to…

cs.NI2019★ 7 cited

Placement and Routing Optimization Problem for Service Function Chain: State of Art and Future Opportunities

Weihan Chen, Xia Yin, Zhiliang Wang +1

Network Functions Virtualization (NFV) allows implantation of network functions to be independent of dedicated hardware devices. Any series of services can be represented by a serv…

cs.NI2018

PriMe: Per-Flow Network Measurement by Combining SRAM with DRAM

Zongyi Zhao, Xingang Shi, Xia Yin +1

Network measurement is necessary to obtain an understanding of the network traffic and keep the network healthy. Flow-level measurement is widely used because it provides rich enou…

cs.NI2018★ 1 cited

HashFlow For Better Flow Record Collection

Zongyi Zhao, Xingang Shi, Xia Yin +1

Collecting flow records is a common practice of network operators and researchers for monitoring, diagnosing and understanding a network. Traditional tools like NetFlow face great…