Identifying Compromised Users in Shared Computing Infrastructures: A Data-Driven Bayesian Network Approach-Reference-Cited by-同舟云学术

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Identifying Compromised Users in Shared Computing Infrastructures: A Data-Driven Bayesian Network Approach

Published:2011-10 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE 30th International Symposium on Reliable Distributed Systems
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Author:

Pecchia Antonio,Sharma Aashish,Kalbarczyk Zbigniew,Cotroneo Domenico,Iyer Ravishankar K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6075220/6076749/06076770.pdf?arnumber=6076770

Cited by 21 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. The Effect of Data Compromises on Internet Users: A Review on Financial Implication of the Elderly in the United States;African Journal of Social Sciences and Humanities Research;2024-01-07

2. Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations;2023 IEEE Symposium on Security and Privacy (SP);2023-05

3. Mining Dependability Properties from System Logs: What We Learned in the Last 40 Years;Springer Series in Reliability Engineering;2022-07-26

4. Bayesian network model to distinguish between intentional attacks and accidental technical failures: a case study of floodgates;Cybersecurity;2021-09-01

5. Empirical Analysis and Validation of Security Alerts Filtering Techniques;IEEE Transactions on Dependable and Secure Computing;2019-09-01

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