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Incorporating Gradients to Rules: Towards Lightweight, Adaptive
  Provenance-based Intrusion Detection

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection

23 April 2024
Lingzhi Wang
Xiangmin Shen
Weijian Li
Zhenyuan Li
R. Sekar
Han Liu
Yan Chen
    AAML
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Papers citing "Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection"

2 / 2 papers shown
Title
NODLINK: An Online System for Fine-Grained APT Attack Detection and
  Investigation
NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation
Shaofei Li
Feng Dong
Xusheng Xiao
Haoyu Wang
Fei Shao
Jiedong Chen
Yao Guo
Xiangqun Chen
Ding Li
43
17
0
04 Nov 2023
threaTrace: Detecting and Tracing Host-based Threats in Node Level
  Through Provenance Graph Learning
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang
Zhiliang Wang
Tao Zhou
Xia Yin
Dongqi Han
Han Zhang
Hongbin Sun
Xingang Shi
Jiahai Yang
24
69
0
08 Nov 2021
1