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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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An intelligent behavioral-based DDOS attack detection method using adaptive time intervals
Dealing with network attacks is becoming more uphill as we go further due to the complexity of computer networks. Among all the network attacks, DDoS...
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A Comprehensive Analysis of Machine Learning- and Deep Learning-Based Solutions for DDoS Attack Detection in SDN
Software-defined networking (SDN) provides programmability, manageability, flexibility and efficiency compared to traditional networks. These are...
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An efficient DDoS attack detection and categorization using adolescent identity search-based weighted SVM model
Distributed Denial of service (DDoS) is the most frequent as well as serious attack that causes serious threats to new-generation communication...
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DDoS Attack Detection Using Ensemble Machine Learning
A distributed denial of service (DDoS) attack targets at hindering authorized individuals from accessing a server or website by flooding it with...
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AcLGB: A Lightweight DDoS Attack Detection Method
With the development of Internet technology, distributed denial of service(DDoS) attack has always been a hot and difficult point in network...
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A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network
The diverse nature and increasing reliance on virtual systems, cloud computing offers countless services to clients. However, this reliance also...
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DDoS Attack Detection in SDN: Optimized Deep Convolutional Neural Network with Optimal Feature Set
This framework attempts to introduce a new Distributed denial-of-service (DDoS) attack detection and mitigation model. It is comprised of two stages,...
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Proposal of a DDoS Attack Detection Method Using the Communication Interval
As the scale of Distributed Denial of Service (DDoS) attacks has been escalating in recent years, the need for real-time detection of attacks has...
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Mitigation of DDoS Attack Using Moving Target Defense in SDN
Software-defined networking (SDN) is a trending networking paradigm that focuses on decoupling of the control logic from the data plane. This...
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DDoS Attack Detection Using Machine Learning
Distributed denial of service attack, sometimes termed as the ddos attack, is now the most dangerous cyber threat. This is primarily accomplished...
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A Deep Reinforcement Learning-based DDoS Attack Mitigation Scheme for Securing Big Data in Fog-Assisted Cloud Environment
Cloud computing is supported by Fog computing paradigm for achieving local data investigation at edge devices by offering storage support,...
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Intelligent Detection of DDoS Attack in IoT Network
The Internet of things is playing a vital role in human life as well as society. Many mandatory services are provided by IoT devices like GPS, cab...
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A Wrapper Feature Selection Based Hybrid Deep Learning Model for DDoS Detection in a Network with NFV Behaviors
Network function virtualization (NFV) is a rapidly growing technology that permits network operators to issue their virtualized network functions...
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ABAP: Anchor Node Based DDoS Attack Detection Using Adaptive Neuro-Fuzzy Inference System
Wireless Sensor Network is utilized in many applications so it is prone to various attacks. Among which the flooding attacks interrupt the...
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Unknown DDoS Attack Detection Using Open-Set Recognition Technology and Fuzzy C-Means Clustering
In contemporary society, internet users face various cyber threats, including malware, phishing websites, and hacker attacks. Conventional defense...
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DDOS Attack in WSN Using Machine Learning
The wireless sensor networks (WSNs) are susceptible to various sorts of security risks and attacks. To identify attacks, a powerful intrusion...
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A Novel DDOS Attack Detection and Prevention Using DSA-DPI Method
In the current Internet world, connection of computers, IoT devices, and mobile devices together becomes common activity. Because of the enormous...
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An Innovative Technique for DDoS Attack Recognition and Deterrence on M-Health Sensitive Data
Nowadays Mobile Health (also termed as m-Health) is an essential component of the healthcare sector. The m-healthcare uses different types of...
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FBDR-Fuzzy Based DDoS Attack Detection and Recovery Mechanism for Wireless Sensor Networks
Wireless sensor networks (WSN) is considered as one of the exploring technology for its deployment of the massive number of dedicated sensor nodes...
