31 citations · 72 across the 6 of their papers we have counts for
6 papers
Analysis and Detection against Network Attacks in the Overlapping Phenomenon of Behavior Attribute
Jiang Xie, Shuhao Li, Yongzheng Zhanga +2
The proliferation of network attacks poses a significant threat. Researchers propose datasets for network attacks to support research in related fields. Then, many attack detection…
Detecting unknown HTTP-based malicious communication behavior via generated adversarial flows and hierarchical traffic features
Xiaochun Yun, Jiang Xie, Shuhao Li +2
Malicious communication behavior is the network communication behavior generated by malware (bot-net, spyware, etc.) after victim devices are infected. Experienced adversaries ofte…
HSTF-Model: an HTTP-based Trojan Detection Model via the Hierarchical Spatio-Temporal Features of Traffics
Jiang Xie, Shuhao Lia, Xiaochun Yun +2
HTTP-based Trojan is extremely threatening, and it is difficult to be effectively detected because of its concealment and confusion. Previous detection methods usually are with poo…
A method based on hierarchical spatiotemporal features for trojan traffic detection
Jiang Xie, Shuhao Li, Yongzheng Zhang +2
Trojans are one of the most threatening network attacks currently. HTTP-based Trojan, in particular, accounts for a considerable proportion of them. Moreover, as the network enviro…
Multi-relational Instruction Association Graph for Cross-architecture Binary Similarity Comparison
Qige Song, Yongzheng Zhang, Shuhao Li
Cross-architecture binary similarity comparison is essential in many security applications. Recently, researchers have proposed learning-based approaches to improve comparison perf…
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li, Yajie Wang, Yuanzhang Li +1
Machine Learning (ML) has made unprecedented progress in the past several decades. However, due to the memorability of the training data, ML is susceptible to various attacks, espe…