Predicting cyber attacks with bayesian networks using unconventional signals-Reference-Cited by-同舟云学术

Predicting cyber attacks with bayesian networks using unconventional signals

Published:2017-04-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th Annual Conference on Cyber and Information Security Research
language:
Short-container-title:

Author:

Okutan Ahmet¹,Yang Shanchieh Jay¹,McConky Katie¹

Affiliation:

1. Rochester Institute of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3064814.3064823

Reference9 articles.

1. A Bayesian Network Model for Predicting Insider Threats

2. GDELT. 2017. The GDELT Project. (2017). http://www.gdeltproject.org/ {Online; accessed 6-February-2017}. GDELT. 2017. The GDELT Project. (2017). http://www.gdeltproject.org/ {Online; accessed 6-February-2017}.

3. Evaluating the reliability of users as human sensors of social media security threats

4. The Hackmageddon Project. 2017. Hackmageddon Information Security Time-lines and Statistics. (2017). http://www.hackmageddon.com/ {Online; accessed 6-February-2017}. The Hackmageddon Project. 2017. Hackmageddon Information Security Time-lines and Statistics. (2017). http://www.hackmageddon.com/ {Online; accessed 6-February-2017}.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CL-AP2: A composite learning approach to attack prediction via attack portraying;Journal of Network and Computer Applications;2024-10

2. DeepAG: Attack Graph Construction and Threats Prediction With Bi-Directional Deep Learning;IEEE Transactions on Dependable and Secure Computing;2023-01-01

3. Cyber-attack Proactive Defense Using Multivariate Time Series and Machine Learning with Fuzzy Inference-based Decision System;Machine Learning for Networking;2023

4. Fast Tree Model for Predicting Network Security Incidents;2022 5th Information Technology for Education and Development (ITED);2022-11-01

5. Predictive Analytics-Based Cybersecurity Framework for Cloud Infrastructure;International Journal of Cloud Applications and Computing;2022-02-24