activity
20212026
most citedthreaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

222 citations · 335 across the 5 of their papers we have counts for

collaborators

5 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…

hep-ph2026

The Four-Jet Rate in Electron-Positron Annihilation at Order

Xuan Chen, Dmitry Chicherin, Elliot Fox +6

We compute for the first time the production rate for four jets in electron-positron annihilation at next-to-next-to-leading order. Our calculation exhibits the highest final-state…

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…