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Classification of Distributed Denial of Service Attacks in VANET: A Survey
Vehicular ad hoc network (VANET) is a self-organizing network established to provide wireless communication between vehicles where information plays...
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Detecting Distributed Denial of Service (DDoS) in MANET Using Ad Hoc On-Demand Distance Vector (AODV) with Extra Tree Classifier (ETC)
This paper concentrate on an option for mitigating distributed denial of service (DDoS) attacks that can stern consequences in mobile ad hoc network...
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Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks
The widespread adoption of Internet of Things (IoT) devices has increased exponentially in recent years. Consequently, the security risks and...
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Detection and Mitigation of Denial of Service Attacks in Internet of Things Networks
The increasing number of sensors and Internet of Things (IoT) devices have made the Denial of Service (DoS) attacks in IoT networks a significant...
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Use of Machine Learning for Web Denial-of-Service Attacks: A Multivocal Literature Review
Denial-of-service (DoS) attacks conducted on online systems cause the targeted resources to become inoperative. This is caused by the abnormal...
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Study on detecting DDOS attacks based on information entropy of multidimensional judgment matrix
Building an efficient system for detection of DDoS (distributed denial of service) attacks is essential in network security management. Existing...
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A Deep Learning Approach to Detection and Mitigation of Distributed Denial of Service Attacks in High Availability Intelligent Transport Systems
In the era of Internet of Things (IoT) powered by 5G technologies, Automobile Industry is headed towards a revolution. In Intelligent Transport...
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ONOS DDoS Defender: A Comparative Analysis of Existing DDoS Attack Datasets using Ensemble Approach
Software-Defined Networking (SDN) outperforms conventional networks in terms of programmability, management, flexibility, and efficiency. This is...
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Use of Blockchain to Prevent Distributed Denial-of-Service (DDoS) Attack: A Systematic Literature Review
A Distributed Denial-of-Service (DDoS) assault overwhelms a server, network, or service with Internet traffic, disrupting regular traffic. As the...
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Detect and Alleviate DDoS Attacks in Cloud Environment
The Internet is now a crucial aspect of our lives, and distributed computing has grown significantly in size, capability, and complexity, becoming an...
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An Experimental Study of Distributed Denial of Service and Sink Hole Attacks on IoT based Healthcare Applications
With the rapid growth of the Internet-of-Things (IoT) in healthcare and the challenging task of achieving communication between two devices working...
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Recognition of DDoS attacks based on images correlation analysis within deep learning framework
Network security is of great significance in our modern society. The distributed denial of service (DDoS) attacks is one of the most indispensable...
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Analysis of Preventive Measures Against DDoS Attacks in Smart Grid
In recent times, the number of cyberattacks has escalated quickly and predominantly. There is no particular victim of this attack as it has...
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Multiclassification Analysis of Volumetric, Protocol, and Application Layer DDoS Attacks
In today’s digital landscape, Distributed Denial of Service (DDoS) attacks represent a constantly evolving and significant threat, interrupting...
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A Survey on HTTP Flooding—A Distributed Denial of Service Attack
A Distributed Denial of Service (DDOS) attack is a particular type of Denial of Service (DOS) attack in which, a web server is sent multiple requests...
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The use of statistical features for low-rate denial-of-service attack detection
Low-rate denial-of-service (LDoS) attacks can significantly reduce network performance. These attacks involve sending periodic high-intensity pulse...
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Impacts of DDoS Attacks in Software-Defined Networks
DDoS attacks are a severe hazard for the network. Although researchers are putting their efforts to secure the network, the attackers are upgrading...
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Deep learning approaches for detecting DDoS attacks: a systematic review
In today’s world, technology has become an inevitable part of human life. In fact, during the Covid-19 pandemic, everything from the corporate world...
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Classification of Denial-of-Service Attacks in IoT Networks Using AlexNet
The Internet of Things (IoT) plays an essential role in managing our work from home to aircraft. It is the functionality to network electronics in a...
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Towards an Autonomous Response System. Case: Denial of Service Attacks
Intrusion Detection Systems and similar tools continuously update their rule sets to align with evolving attack techniques across monitored and...