dung4883 / PSI_graphIoTBotnet
This project contains 10010 ELF files (6165 IoT Botnet of different variant and 3845 benign files)
☆9Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for PSI_graphIoTBotnet
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- ☆16Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 9 months ago
- ☆33Updated 3 months ago
- ☆14Updated 6 years ago
- Drebin - NDSS 2014 Re-implementation☆103Updated 6 years ago
- ☆14Updated 3 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆34Updated 6 months ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆129Updated last year
- ☆59Updated 6 years ago
- Android Malware Detection using Deep Learning☆50Updated 5 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆35Updated 3 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）☆28Updated 2 years ago
- 主题为”基于GAN的恶意软件对抗 样本生成“。首先介绍了恶意软件发展现状，引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器，详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架，并对实验结果进行了对比。最后总结了结构…☆31Updated 3 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆19Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 3 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆129Updated last year
- 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☆18Updated 4 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆24Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 years ago
- ☆18Updated 10 months ago
- ☆27Updated 4 years ago
- Datasets for paper "Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic"☆13Updated 4 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆102Updated 3 months ago