International Journal on Science and Technology

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-March 2025 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

Comprehensive review of distributed denial of service attack mitigation strategies

Author(s) Kalaiselvi T, Naveenkumar M
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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