balahmadi-Ox / BOTectionLinks
Bot Detection by Building Markov Chain Models of Bots Network Behavior
☆15Updated 4 years ago
Alternatives and similar repositories for BOTection
Users that are interested in BOTection are comparing it to the libraries listed below
Sorting:
- The Tangled Genealogy of IoT Malware☆12Updated 4 years ago
- A graph-based deep learning tool that can recognizes the kernel objects from raw memory dumps.☆14Updated 6 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆141Updated 2 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆26Updated 3 years ago
- Forecasting Malware Capabilities From Cyber Attack Memory Images☆33Updated 2 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆71Updated 5 months ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆50Updated 5 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆71Updated 3 years ago
- Corresponding code to "Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features" @ USENIX Secur…☆11Updated 6 years ago
- Code for Book "AI for Cybersecurity: A Handbook of Use Case"☆21Updated 2 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆36Updated 3 years ago
- Datasets used in the StreamSpot experiments☆61Updated 9 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆166Updated 3 years ago
- ☆80Updated 2 years ago
- ☆13Updated last year
- Adversarial machine learning and explainable machine learning for cyber security☆12Updated 3 years ago
- Insider threat detection via bert☆20Updated 3 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison☆23Updated 2 years ago
- SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, Oakland'22☆82Updated 2 years ago
- ☆26Updated 6 years ago
- Malware Classification using Machine learning☆72Updated 10 months ago
- ☆101Updated 4 years ago
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆160Updated 2 years ago
- MALOnt - an ontology for Malware Threat Intelligence.☆11Updated 4 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆94Updated 2 years ago
- A method for grouping, clustering, and merging semi-structured alerts☆24Updated 10 months ago