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A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
[HTML][HTML] CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …
world more closely than ever before. However, the growing number of connected devices …
Conditional tabular generative adversarial based intrusion detection system for detecting ddos and dos attacks on the internet of things networks
The increasing use of Internet of Things (IoT) devices has led to a rise in Distributed Denial
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
[HTML][HTML] Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …
security challenges. The growing number of IoT attacks poses a significant threat to …
[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2024 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
[HTML][HTML] Deep learning-based approach for detecting DDoS attack on software-defined networking controller
The rapid growth of cloud computing has led to the development of the Software-Defined
Network (SDN), which is a network strategy that offers dynamic management and improved …
Network (SDN), which is a network strategy that offers dynamic management and improved …
Detection of application-layer ddos attacks using machine learning and genetic algorithms
Abstract Application-layer Distributed Denial of Service (App-DDoS) attacks continue to be a
pervasive problem in cybersecurity, despite the availability of various defensive frameworks …
pervasive problem in cybersecurity, despite the availability of various defensive frameworks …
IPv6 addressing with hidden duplicate address detection to mitigate denial of service attacks in the internet of drone
The fusion of drones with the Internet, termed the Internet of Drones (IoD), resembles the
Internet of Things (IoT) paradigm. In IoD, drones necessitate unique identifiers similar to IPv6 …
Internet of Things (IoT) paradigm. In IoD, drones necessitate unique identifiers similar to IPv6 …
Passive rule-based approach to detect sinkhole attack in RPL-based Internet of Things networks
An Internet of Things (IoT) refers to a network of smart devices that enable data collection
and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless …
and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless …