tomergill / Malware_Classification_Final_Project
Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machine Learning & Deep Learning
☆10Updated 6 years ago
Alternatives and similar repositories for Malware_Classification_Final_Project:
Users that are interested in Malware_Classification_Final_Project are comparing it to the libraries listed below
- Malware detection demo using machine learning.☆24Updated 7 years ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 3 years ago
- A Machine Learning approach for classifying a file as Malicious or Legitimate☆75Updated 8 years ago
- Malware Classification using Machine learning☆72Updated 3 months ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- ☆31Updated 4 years ago
- A malware family classification model based on CNN☆24Updated 2 years ago
- Multi-class malware classification using Deep Learning☆76Updated 4 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
- With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …☆22Updated 5 years ago
- ☆58Updated 2 years ago
- ☆59Updated 6 years ago
- An approach to detect Malware Files using Deep Learning☆5Updated 5 years ago
- Deep Learning Based Android Malware Detection Framework☆40Updated 4 years ago
- Implementation of the paper "Deep Android Malware Detection" as part of the course project for the course Information Assurance & Securit…☆9Updated 6 years ago
- Android Malware Detection using Deep Learning☆51Updated 5 years ago
- RNN implementation with Keras for machine activity data to predict malware☆41Updated last year
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- Training Vision Transformers from Scratch for Malware Classification☆28Updated 3 years ago
- XGBoost + CNN to detect malware using PE header☆9Updated 5 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆168Updated last year
- Classifying malware families by converting their binaries to images and then applying Convolutional Neural Network solutions.☆13Updated 3 years ago
- Adversarial Malware Generator Using GANs☆52Updated 7 months ago
- Detection of malicious domain names using machine learning and deep learning models☆16Updated 6 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%。☆22Updated 4 years ago
- Malware classification using VirusTotal API and Python. Classified malware families are Worms, Adware, Virus, Riskware, Spyware, Keylogge…☆8Updated 3 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated 7 months ago
- Android malware classification using both .java files and .so files☆11Updated 6 years ago
- ☆12Updated last year
- Android Malware detection using Deep Learning Hybrid Model.☆23Updated 6 years ago