CaLlMeErIC / MalConvLinks
使用卷积神经网络识别恶意软件，其特点是把文件的每个字节都当做输入
☆16Updated last year
Alternatives and similar repositories for MalConv
Users that are interested in MalConv are comparing it to the libraries listed below
Sorting:
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 years ago
- Code for the paper - Malicious URL Detection via Pretrained Language Model-Guided Multi-Level Feature Attention Network☆14Updated 2 years ago
- PackGenome: Automatically Generating Robust YARA Rules for Accurate Malware Packer Detection☆28Updated 2 years ago
- 基于深度学习的恶意软件检测研究；MalConv;☆119Updated 3 years ago
- 该资源为安全相关的数据集，包括恶意URL、恶意流量、图像分类、恶意软件等，希望对您有所帮助~☆10Updated 4 years ago
- 这是作者恶意代码分析、网络安全、系统安全等系列教程，主要是通过机器学习、人工智能和深度学习来分析恶意代码的在线笔记。希望对您有所帮助，学无止境，一起加油。☆103Updated 5 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆19Updated 7 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆43Updated 3 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 years ago
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆31Updated last year
- 使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务☆42Updated 5 years ago
- Malware Classification using Machine learning☆76Updated last year
- 该资源是各种溯源图相关的论文和资源总结（含PPT），涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~☆167Updated 2 years ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆219Updated last year
- This repository contains scripts and dataset for a Apt Identification Triage System☆17Updated 6 years ago
- Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption☆39Updated 5 years ago
- 基于卷积神经网络的恶意软件检测方法☆59Updated 6 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Updated 3 years ago
- 本科毕业设 计，参考LENET-5模型，将恶意软件转化为灰度图，通过卷积神经网络实现了恶意软件检测分类，准确率达98%。☆26Updated 5 years ago
- ☆27Updated 6 years ago
- 该资源为作者AI安全相关论文的分享知识，包括PPT和PDF版本及原文，希望对您有所帮助。加油~☆33Updated last year
- : An LLM Approach for Open-Set Encrypted Traffic Classification☆56Updated 3 months ago
- MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning☆62Updated 5 months ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆24Updated 2 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- ☆40Updated last year
- 利用强化学习方法 DQN 生成基于机器学习的恶意流量检测模型☆29Updated 4 years ago
- Automatic Malware Signature Generation Tool☆16Updated 4 years ago
- li-zhenyuan / Effective-and-Light-Weight-Deobfuscation-and-Semantic-Aware-Attack-Detection-for-PowerShell-Scripts☆22Updated 5 years ago