activity
20212025
most citedExploring agent interaction patterns in the comment sections of fake and real news

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection

Songtao Peng, Lei Wang, Wu Shuai +4

With the rapid growth of internet traffic, malicious network attacks have become increasingly frequent and sophisticated, posing significant threats to global cybersecurity. Tradit…

cs.SI2024★ 1 cited

Exploring agent interaction patterns in the comment sections of fake and real news

Kailun Zhu, Songtao Peng, Jiaqi Nie +3

User comments on social media have been recognized as a crucial factor in distinguishing between fake and real news, with many studies focusing on the textual content of user react…

cs.SI2024

Backfire Effect Reveals Early Controversy in Online Media

Songtao Peng, Tao Jin, Kailun Zhu +2

The rapid development of online media has significantly facilitated the public's information consumption, knowledge acquisition, and opinion exchange. However, it has also led to m…

cs.CR2023

MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events

Songtao Peng, Yiping Chen, Xincheng Shu +4

In recent years, various international security events have occurred frequently and interacted between real society and cyberspace. Traditional traffic monitoring mainly focuses on…

cs.LG2021

A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network

Songtao Peng, Jiaqi Nie, Xincheng Shu +4

As the default protocol for exchanging routing reachability information on the Internet, the abnormal behavior in traffic of Border Gateway Protocols (BGP) is closely related to In…