Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Distributed Denial of Service attacks make networks slow and unavailable. Traditional defense systems do not work well when attackers change traffic patterns. This work presents a real time AI system that detects and reduces Distributed Denial of Service attacks attacks using machine learning, deep learning, graph based analysis, and reinforcement learning. The system observes network traffic, finds abnormal behavior, applies the right action, and learns from the results. Tests show better detection, fewer mistakes, and stable network service even during strong attacks. This makes the system suitable for modern high speed networks.
"ShieldNet AI “Real Time AI Agent For DDOS Attack Detection and Mitigation”", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b787-b793, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511189.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator