2024年8月2日 · In this paper, we analyze the DDoS attack on an SDN environment and develop a method to identify the DDoS attack using Deep Learning (DL). The proposed method converts …

2024年11月26日 · Distributed Denial of Service (DDoS) attacks pose a major threat to organizations by overwhelming their networks and servers. Effective identification of DDoS …

2022年1月27日 · We have analyzed the relevant studies and the results of the SLR are categorized into five main research areas: (i) the different types of DDoS attack detection deep …

2024年6月1日 · This paper introduces the IoT-DH dataset, a novel and extensive dataset designed for the purpose of classifying, identifying, and detecting DDoS attacks within IoT …

2021年5月1日 · Propose an approach named DIDDOS to detect a real-world Distributed Denial of Service (DDoS) cyberattacks and identify the type of DDOS attack. Evaluate the effectiveness …

Distributed Denial of Service (DDoS) attacks pose a significant threat to network security, often causing severe service disruptions. This study explores the CIC DDoS 2019 dataset through …

2024年9月12日 · By integrating deep learning models with explainable AI, transparent DDoS detection systems can be developed to mitigate risks and facilitate informed decision-making …

2025年1月23日 · This interpretability could be crucial for network administrators and experienced security analysts for the identification of different characteristics of DDoS attacks.

5 天之前 · Software-Defined Networking (SDN) offers significant advantages for modern networks, including flexibility, centralized control, and reduced dependency on vendor-specific hardware. …

Distributed Denial of Service (DDoS) attacks grow rapidly and become one of the fatal threats to the Internet. Automatically detecting DDoS attack packets is one of the main defense …