tum-i4 / attack-graph-generatorLinks
☆32Updated 5 years ago
Alternatives and similar repositories for attack-graph-generator
Users that are interested in attack-graph-generator are comparing it to the libraries listed below
Sorting:
- Attack graph construction and analysis☆36Updated 6 years ago
- Material from the DARPA Transparent Computing Program☆224Updated 5 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆39Updated last year
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆98Updated 2 years ago
- Towards the Detection of Inconsistencies in Public Security Vulnerability Reports☆75Updated 3 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆176Updated 3 years ago
- ☆14Updated 4 years ago
- A logic-based enterprise network security analyzer☆137Updated 3 years ago
- ☆14Updated 6 years ago
- BAG-MulVAL: Auxiliary analyzer of intranet security☆21Updated 2 years ago
- ☆11Updated 6 years ago
- A naive implementation of HERCULE, an attack story reconstruction system using community discovery on correlated log graph☆15Updated 8 years ago
- Have fun with audit log analysis :)☆153Updated last year
- MulVAL interaction rules and their mapping to MITRE ATT&CK Techniques☆13Updated last year
- SPADE: Support for Provenance Auditing in Distributed Environments☆191Updated last month
- Modbus Dataset from CSET 2016☆49Updated 2 years ago
- ☆102Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆91Updated last year
- SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, Oakland'22☆83Updated 2 years ago
- ☆27Updated 6 years ago
- ☆24Updated 5 years ago
- ☆86Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆58Updated 2 years ago
- MulVAL: A logic-based, data-driven enterprise network security analyzer - Originally developed at Kansas State University, updated for Cy…☆37Updated last year
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 4 years ago
- The source code and dataset are used to demonstrate the TF model, and reproduce the results of the ACM CCS2019 paper☆55Updated 4 years ago
- Using the 1998 DARPA Intrusion Detection Evaluation dataset I configured a Random Forest model for anomaly detection☆14Updated 6 years ago
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆180Updated 2 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- Datasets used in the StreamSpot experiments☆66Updated 9 years ago