Email spam detecting by Bayesian filters

When a file moves between two systems over the web needed safety among two sides. Emails are speed and cheap method to information sharing. But in recent years, Email systems suffer from Spam. Spam is messages, which is send to big number of users without asking them. Several numbers of methods are...

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Bibliographic Details
Main Authors: Ibrahim, Dheyab Salman, Zaidan, Fadhil Kadhem, Saleh, Hassan Hadi
Format: Conference Proceeding
Language:English
Subjects:
Bayesian analysis
Classifiers
Electronic mail
Spamming
Online Access:Get full text
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Summary:When a file moves between two systems over the web needed safety among two sides. Emails are speed and cheap method to information sharing. But in recent years, Email systems suffer from Spam. Spam is messages, which is send to big number of users without asking them. Several numbers of methods are developed to prevent spam. Filters for prevent spam can have done via some methods such as “Preventive” and “Curing “techniques. In this study using Black List, White List with Bayesian classifier in analysis process. The implementing and the results present the ability of the proposed technique to detect best features with the least value of selected features for spam email classification based on a classifier.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0093893