QMIND-Team / Cyber_Security
Generative Adversarial Network to generate malware to evade detection
☆14Updated 2 years ago
Alternatives and similar repositories for Cyber_Security:
Users that are interested in Cyber_Security are comparing it to the libraries listed below
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆169Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- ☆59Updated 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
- Multi-class malware classification using Deep Learning☆78Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- Malware detection demo using machine learning.☆25Updated 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 8 months ago
- Network data classifier based on the recurrent neural network.☆22Updated 6 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆88Updated 5 years ago
- A LSTM based framework for handling multiclass imbalance in DGA botnet detection☆22Updated 4 years ago
- Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"☆18Updated 6 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web …☆17Updated 11 months ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Updated 6 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆22Updated 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 5 years ago
- An approach to detect Malware Files using Deep Learning☆5Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆90Updated 7 months ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated 4 months ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- 基于卷积神经网络的恶意软件检测方法☆50Updated 5 years ago
- Encrypted traffic classification use CNN☆32Updated 4 years ago
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆22Updated 4 years ago
- ☆31Updated 4 years ago
- ☆70Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆46Updated 2 years ago