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Royal Book Publishing
AI & DEEP LEARNING-BASED ANOMALY DETECTION FOR DDOS MITIGATION IN MODERN NETWORKS
2025
Distributed Denial of Service (DDoS) attacks pose a significant threat to online systems by overwhelming target servers with illegitimate traffic. Traditional signature-based detection methods struggle with evolving attack patterns. This paper proposes the us…
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Artificial Intelligence

Intelligence of machines

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.

High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g.

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Royal Book Publishing
AI & DEEP LEARNING-BASED ANOMALY DETECTION FOR DDOS MITIGATION IN MODERN NETWORKS
2025
Distributed Denial of Service (DDoS) attacks pose a significant threat to online systems by overwhelming target servers with illegitimate traffic. Traditional signature-based detection methods struggle with evolving attack patterns. This paper proposes the use of Artificial Intelligence (AI) and deep learning techniques—particularly Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN)—to analyze network traffic and detect anomalous behaviors in real time. The results demonstrate the effectiveness …
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Anomaly Detection
Deep Learning
Computer Science
Internet