QMIND-Team / Cyber_Security
Generative Adversarial Network to generate malware to evade detection
☆14Updated last year
Related projects: ⓘ
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆71Updated 4 years ago
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆19Updated 3 years ago
- ☆56Updated 2 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆166Updated last year
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆78Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆27Updated 5 years ago
- Network data classifier based on the recurrent neural network.☆22Updated 5 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆239Updated 8 months ago
- An approach to detect Malware Files using Deep Learning☆6Updated 5 years ago
- SSH traffic analysis☆22Updated 5 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆134Updated 5 years ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- ☆27Updated 5 years ago
- Multi-class malware classification using Deep Learning☆72Updated 3 years ago
- Deep learning based Intrusion Detection System☆26Updated 4 years ago
- Malware detection demo using machine learning.☆23Updated 6 years 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☆31Updated 6 years ago
- Deep Learning Tool for Off-line Network Intrusion Detection System☆24Updated 5 years ago
- Cybersecurity Data Mining Competition 2016☆11Updated 5 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
- IoT intrusion Detection Model based on neural network and random forests☆43Updated 5 years 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.…☆38Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆35Updated 7 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆67Updated 4 years ago
- Malware detection using CNN☆11Updated 6 years ago
- Android malware detection using static and dynamic analysis☆38Updated 5 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆136Updated 4 years ago
- Multi-class classification of Android malware based on CICAndMal2017 dataset: https://www.unb.ca/cic/datasets/andmal2017.html☆11Updated 4 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 years ago
- ☆12Updated last year