UmerTariq1 / Malware-classification-paper-implementation-using-Convolutional-Neural-NetworkLinks
Implementation of IEEE paper: Malware Classification with Deep Convolutional Neural Networks
☆17Updated 5 years ago
Alternatives and similar repositories for Malware-classification-paper-implementation-using-Convolutional-Neural-Network
Users that are interested in Malware-classification-paper-implementation-using-Convolutional-Neural-Network are comparing it to the libraries listed below
Sorting:
- Multi-class malware classification using Deep Learning☆78Updated 4 years ago
- Generative Adversarial Network to generate malware to evade detection☆16Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- Cybersecurity Data Mining Competition 2016☆11Updated 6 years ago
- This project contains 10010 ELF files (6165 IoT Botnet of different variant and 3845 benign files)☆9Updated 6 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆172Updated 2 years ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆74Updated 5 years ago
- Android Malware Detection using Deep Learning☆54Updated 5 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆139Updated 2 years ago
- Android malware detection using static and dynamic analysis☆39Updated 6 years ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 3 years ago
- Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machin…☆10Updated 7 years ago
- ☆32Updated 4 years ago
- This is a paper list about Machine Learning for IDSes☆89Updated 11 months ago
- ☆61Updated 7 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆207Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆243Updated 3 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆126Updated 7 years ago
- ☆14Updated 7 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated last year
- ☆31Updated 3 years ago
- Android Malware detection using Deep Learning Hybrid Model.☆24Updated 7 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…☆35Updated 4 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated 11 months ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆146Updated last year
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆261Updated 5 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆31Updated 7 months ago
- Malware detection using CNN☆12Updated 6 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago