dung4883 / PSI_graphIoTBotnet
This project contains 10010 ELF files (6165 IoT Botnet of different variant and 3845 benign files)
☆9Updated 5 years ago
Alternatives and similar repositories for PSI_graphIoTBotnet:
Users that are interested in PSI_graphIoTBotnet are comparing it to the libraries listed below
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆29Updated 6 months ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated 2 months ago
- ☆17Updated 2 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated 9 months ago
- ☆35Updated 6 months ago
- Training Vision Transformers from Scratch for Malware Classification☆28Updated 3 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆80Updated 2 years ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- ☆15Updated 3 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆17Updated 3 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 2 years ago
- This is a paper list about Machine Learning for IDSes☆88Updated 5 months ago
- 使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤,使用算法RF,KNN☆19Updated 4 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆19Updated 3 years ago
- Malware Classification using Machine learning☆70Updated 3 months ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆91Updated last year
- ☆14Updated 6 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆134Updated last year
- ☆26Updated last year
- An automatic packet crafting tool for evading learning-based NIDS☆77Updated 3 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 4 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆52Updated last year
- ☆28Updated 2 years ago
- ☆59Updated 6 years ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆22Updated 4 years ago
- APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning☆63Updated 2 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆30Updated 3 years ago