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王宏超's Projects

ai-security-paper icon ai-security-paper

This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sample detection, and APT overview. Hope these summarized papers are helpful to you~

apt icon apt

B Tech project for APT detection using provenance graphs

apt-kgl icon apt-kgl

APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning

atlas icon atlas

ATLAS: A Sequence-based Learning Approach for Attack Investigation

cs-xmind-note icon cs-xmind-note

计算机专业课(408)思维导图和笔记:计算机组成原理(第五版 王爱英),数据结构(王道),计算机网络(第七版 谢希仁),操作系统(第四版 汤小丹)

ctf-tools icon ctf-tools

Some setup scripts for security research tools.

deep-learning-notes icon deep-learning-notes

清华大学软件学院研究生课程《深度学习》的个人总结和思维导图

dettect icon dettect

Detect Tactics, Techniques & Combat Threats

et-bert icon et-bert

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

ieee_sp_2022_wtagraph icon ieee_sp_2022_wtagraph

Code release for our IEEE Symposium on Security and Privacy 2022 paper entitled "WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks"

insight icon insight

洞察-宜信集应用系统资产管理、漏洞全生命周期管理、安全知识库管理三位一体的平台。

iterm2-color-schemes icon iterm2-color-schemes

Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty

learn-security-from-0 icon learn-security-from-0

从0开始学安全,注重实战+技巧的运用,分享各种安全攻防干货,包括但不限于:Web安全、代码审计 、内网渗透、企业安全等。

log2vec icon log2vec

Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise

macidatools icon macidatools

macos Monterey 版本 12.1 MacBook Pro (13-inch, 2020, Four Thunderbolt 3 ports) IDA自用

magic icon magic

Codes and data for USENIX Security 24 paper "MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning"

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