
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 1
2025
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Comprehensive review of distributed denial of service attack mitigation strategies
Author(s) | Kalaiselvi T, Naveenkumar M |
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Country | India |
Abstract | Distributed Denial of Service (DDoS) attacks are among the most disruptive cybersecurity threats, targeting the availability of online services. Attackers leverage networks of compromised devices to flood target systems with malicious traffic, rendering them inaccessible to legitimate users. This review explores various DDoS mitigation strategies, emphasizing prevention, detection, and response techniques. We discuss anomaly detection methods, machine learning models, and rate limiting techniques to prevent volumetric attacks. Additionally, we analyse recent advancements and highlight future research directions aimed at improving the effectiveness of DDoS mitigation. which enhance the adaptability and scalability of modern defence mechanisms. Finally, we outline the challenges of mitigating evolving DDoS threats and propose future research directions to strengthen cybersecurity frameworks. Our findings underscore the importance of integrating multiple layers of defines to ensure the robustness of online services against increasingly complex DDoS attacks |
Keywords | DDoS mitigation, anomaly detection, machine learning, network security, traffic filtering |
Field | Engineering |
Published In | Volume 16, Issue 1, January-March 2025 |
Published On | 2025-03-28 |
Cite This | Comprehensive review of distributed denial of service attack mitigation strategies - Kalaiselvi T, Naveenkumar M - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2917 |
DOI | https://doi.org/10.71097/IJSAT.v16.i1.2917 |
Short DOI | https://doi.org/g896fm |
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