RENYI JOINT ENTROPY-BASED DYNAMIC THRESHOLD APPROACH TO DETECT DDOS ATTACKS AGAINST SDN CONTROLLER WITH VARIOUS TRAFFIC RATES

Renyi Joint Entropy-Based Dynamic Threshold Approach to Detect DDoS Attacks against SDN Controller with Various Traffic Rates

The increasing incidence of distributed denial-of-service (DDoS) attacks has made software-defined networking (SDN) more vulnerable to the depletion of controller resources.DDoS attacks prevent the SDN controller from processing all incoming data efficiently, potentially disrupting a network or denying legitimate users access to network services.Th

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Automatic Modulation Classification for Adaptive OFDM Systems Using Convolutional Neural Networks With Residual Learning

Automatic modulation classification (AMC) is becoming a promising technique for future adaptive wireless transceiver systems.The existing blind modulation classification (BMC) methods for orthogonal frequency division multiplexing (OFDM) fail to achieve the required performance by using statistical-based methods.Thus, the modulation classification

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COCKPIT-PLUS: A proposed method for rapid groundwater vulnerability-driven land use zoning in tropical cockpit karst areas

Karst groundwater is highly vulnerable to contamination, which urges better land use zoning.This paper proposes a new approach, called COCKPIT-PLUS, to minimize groundwater contamination within cockpit karst regions.The method employed four parameters: P (the existence of ponor/swallow hole), L (lineament density), U (sinking stream to an undergrou

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