activity
20182026
most citedthreaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

222 citations · 534 across the 9 of their papers we have counts for

collaborators

9 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

Centralized Network Utility Maximization with Accelerated Gradient Method

Ying Tian, Zhiliang Wang, Xia Yin +3

Network utility maximization (NUM) is a well-studied problem for network traffic management and resource allocation. Because of the inherent decentralization and complexity of netw…

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.CR2021★ 222 cited

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

Su Wang, Zhiliang Wang, Tao Zhou +6

Host-based threats such as Program Attack, Malware Implantation, and Advanced Persistent Threats (APT), are commonly adopted by modern attackers. Recent studies propose leveraging…

cs.CR2021★ 113 cited

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Dongqi Han, Zhiliang Wang, Wenqi Chen +6

Unsupervised Deep Learning (DL) techniques have been widely used in various security-related anomaly detection applications, owing to the great promise of being able to detect unfo…

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…