Risk Prediction and Management for Effective Cyber Security Using Weighted Fuzzy C Means Clustering-Reference-Cited by-同舟云学术

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Risk Prediction and Management for Effective Cyber Security Using Weighted Fuzzy C Means Clustering

Published:2024-04-26 Issue: Volume:4 Page:1-4
ISSN:
Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
language:
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Author:

Pillai Sanjaikanth E Vadakkethil Somanathan¹,Polimetla Kiran²,Sai Prakash Chidurala³,Kumar Pareek Piyush⁴,Zanke Pankaj⁵

Affiliation:

1. School of Electrical Engineering and Computer Science, University of North Dakota,Grand Forks,USA

2. Adobe Inc.,Dept. of Information Technology,Austin,Texas,USA

3. SR University,Department of Electrical and Electronics Engineering,Warangal,India

4. Nitte Meenakshi Institute of Technology,Department of AIML and IPR Cell,Bengaluru,India

5. Sapiens International Corporation,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10549709.pdf?arnumber=10549709

Reference14 articles.

1. Ontology-based approach to real-time risk management and cyber-situational awareness

2. Privacy-Preserving Network Traffic Analysis Using Homomorphic Encryption

3. Cyber-threat perception and risk management in the Swedish financial sector

4. Super-forecasting the ‘technological singularity’ risks from artificial intelligence

5. Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection

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