ATT&CK Behavior Forecasting based on Collaborative Filtering and Graph Databases-Reference-Cited by-同舟云学术

ATT&CK Behavior Forecasting based on Collaborative Filtering and Graph Databases

Published:2022-11-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Computing (ICOCO)
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Author:

Kuwano Masaki¹,Okuma Momoka¹,Okada Satoshi¹,Mitsunaga Takuho²

Affiliation:

1. Toyo University,INIAD,Tokyo,Japan

2. Toyo University The Tokyo Foundation for Policy Research,INIAD,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10031269/10031273/10032036.pdf?arnumber=10032036

Reference19 articles.

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1. Predicting and Visualizing Lateral Movements Based on ATT&CK and Quantification Theory Type 3;Journal of Cases on Information Technology;2024-03-20

2. Automated Mapping Method for Sysmon Logs to ATT&CK Techniques by Leveraging Atomic Red Team;2023 6th International Conference on Signal Processing and Information Security (ICSPIS);2023-11-08

3. The Attacker Might Also Do Next: ATT&CK Behavior Forecasting by Attacker-based Collaborative Filtering and Graph Databases;Journal of Information Processing;2023