http://www.covert.io/deep-learning-security-papers/
Deep Learning Papers on Security
- A Deep Learning Approach for Network Intrusion Detection System
- A Hybrid Malicious Code Detection Method based on Deep Learning
- A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks
- A Multi-task Learning Model for Malware Classification with Useful File Access Pattern from API Call Sequence
- A Novel LSTM-RNN Decoding Algorithm in CAPTCHA Recognition (Short paper)
- An Analysis of Recurrent Neural Networks for Botnet Detection Behavior
- Application of Recurrent Neural Networks for User Verification based on Keystroke Dynamics
- Applications of Deep Learning On Traffic Identification (video: here)
- Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection
- Comparison Deep Learning Method to Traditional Methods Using for Network Intrusion Detection (short paper)
- Convolutional Neural Networks for Malware Classification (THESIS)
- Deep Learning Approach for Network Intrusion Detection in Software Defined Networking
- Deep Learning for Classification of Malware System Call Sequences
- Deep Learning for Zero-day Flash Malware Detection (Short Paper)
- Deep Learning is a Good Steganalysis Tool When Embedding Key is Reused for Different Images, even if there is a cover source mismatch
- Deep Learning-based Feature Selection for Intrusion Detection System in Transport Layer (Short Paper)
- Deep Neural Network Based Malware Detection using Two Dimensional Binary Program Features
- DeepDGA: Adversarially-Tuned Domain Generation and Detection
- DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
- DL4MD: A Deep Learning Framework for Intelligent Malware Detection
- Droid-Sec: Deep Learning in Android Malware Detection
- DroidDetector: Android Malware Characterization and Detection using Deep Learning
- HADM: Hybrid Analysis for Detection of Malware
- Identifying Top Sellers In Underground Economy Using Deep Learning-based Sentiment Analysis
- Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
- Large-scale Malware Classification using Random Projections and Neural Networks
- Learning a Static Analyzer: A Case Study on a Toy Language
- Learning Spam Features using Restricted Boltzmann Machines
- Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection
- LSTM-based System-call Language Modeling and Robust Ensemble Method for Designing Host-based Intrusion Detection Systems
- Malware Classification on Time Series Data Through Machine Learning (THESIS)
- Malware Classification with Recurrent Networks
- Malware Detection with Deep Neural Network using Process Behavior
- MS-LSTM: a Multi-Scale LSTM Model for BGP Anomaly Detection
- MtNet: A Multi-Task Neural Network for Dynamic Malware Classification
- Network Anomaly Detection with the Restricted Boltzmann Machine
- Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
- Recognizing Functions in Binaries with Neural Networks
- The Limitations of Deep Learning in Adversarial Settings
- Toward large-scale vulnerability discovery using Machine Learning
Deep Learning Presentations on Security
- A Deep Learning Approach for Network Intrusion Detection System
- Deep Learning on Disassembly Data (video: here)
Security Machine Learning Resources:
- Security Data Science Papers
- Interesting security papers
- awesome-ml-for-cybersecurity project on Github
- mlsecproject
- Getting Started With Machine Learning for Incident Detection (code examples here).