Exploration of Various Machine Learning Techniques for Identifying and Mitigating DDoS Attacks
Author:
Affiliation:
1. University of Cincinnati,School of Information Technology,Cincinnati,United States of America
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10320127/10319983/10320151.pdf?arnumber=10320151
Reference54 articles.
1. Taxonomy of DoS and DDoS attacks and desirable defense mechanism in a Cloud computing environment
2. Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review
3. DOS Attack Analysis and Study of New Measures to Prevent
4. Research on DoS Attack and Detection Programming
5. GoSecure: Securing Projects with Go
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1. Internet of Things Security and Data Privacy Concerns in Smart Farming;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29
2. Evolving Malware and DDoS Attacks: Decadal Longitudinal Study;IEEE Access;2024
3. 2019–2023 in Review: Projecting DDoS Threats With ARIMA and ETS Forecasting Techniques;IEEE Access;2024
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