SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses-Reference-Cited by-同舟云学术

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SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 24th Conference on Business Informatics (CBI)
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Author:

Franco Muriel F.¹,Sula Erion¹,Huertas Alberto¹,Scheid Eder J.¹,Granville Lisandro Z.²,Stiller Burkhard¹

Affiliation:

1. University of Zürich UZH,Communication Systems Group CSG,Department of Informatics IfI,Zürich,Switzerland,CH-8050

2. Institute of Informatics, Federal University of Rio Grande do Sul UFRGS Av. Bento Gonçalves,Computer Networks Group,Porto Alegre,Brazil,9500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9944719/9944706/09944740.pdf?arnumber=9944740

Reference22 articles.

1. Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

2. Using Deep Learning For Assessing Cybersecurity Economic Risks In Virtual Power Plants

3. Optimal Cybersecurity Investments in Large Networks Using SIS Model: Algorithm Design

4. Multi-sector Assessment Framework – a New Approach to Analyse Cybersecurity Challenges and Opportunities

Cited by 9 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. RCVaR: An economic approach to estimate cyberattacks costs using data from industry reports;Computers & Security;2024-04

2. Exploring perceptions of decision-makers and specialists in defensive machine learning cybersecurity applications: The need for a standardised approach;Computers & Security;2024-04

3. Cyber Security and People: Human Nature, Psychology, and Training Affect User Awareness, Social Engineering, and Security Professional Education and Preparedness;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices;ICC 2023 - IEEE International Conference on Communications;2023-05-28

5. CyberTEA: a Technical and Economic Approach for Cybersecurity Planning and Investment;NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium;2023-05-08

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