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Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning
Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date:
January 10, 2022
Creator:
Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
System:
The UNT Digital Library
Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model
This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date:
January 18, 2022
Creator:
Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
System:
The UNT Digital Library
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date:
January 19, 2022
Creator:
Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
System:
The UNT Digital Library