Academic department under which the project should be listed

CCSE - Computer Science

Research Mentor Name

Hossain Shahriar

Abstract (300 words maximum)

Classification is an important technique to deal with cybersecurity threats. In this paper, we detect spam emails from publicly available dataset using Naive Bayes and Neural Network (NN). The results from experiments show that for data sets with more balanced for classification, the accuracy of Naive Bayes is better than NN

Disciplines

Artificial Intelligence and Robotics

COinS
 

Spam Email Detection: Comparison Between Naïve Bayes and Neural Network

Classification is an important technique to deal with cybersecurity threats. In this paper, we detect spam emails from publicly available dataset using Naive Bayes and Neural Network (NN). The results from experiments show that for data sets with more balanced for classification, the accuracy of Naive Bayes is better than NN