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Detection of coronavirus phishing emails using echo state neural network
Author
Source
ZANCO Journal of Pure and Applied Sciences
Issue
Vol. 32, Issue 5 (31 Oct. 2020), pp.78-85, 8 p.
Publisher
Salahaddin University-Erbil Department of Scientific Publications
Publication Date
2020-10-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
E-mail is an important and fast mean of conveying information among people, banks, companies and organizations, that information is often important, sensitive and secret, this make it worthy to attackers who can use it for harmful purposes.
Spread of coronavirus in most countries of the world and the huge amount of media coverage surrounding this virus led to emergence phishing emails by exploiting coronavirus pandemic.
Phishing emails are scam messages used by fraudsters to take out secret information from persons by pretending that it is from official sources.
In this paper a novel method has been proposed to detect the coronavirus phishing emails and distinguish them from legitimate mails by using Echo state neural network(ESN), after preprocessing the emails, features are selected from the header and body of it, these features are given as fed to the (ESN) algorithm to classify emails as malicious or legitimate.
The results showed the efficiency and accuracy of the algorithm used in the detection of coronavirus phishing emails, where the rate of accuracy, precision, recall and F-measure are 99.392, 98.892, 99888, and 99.387 respectively with low required processing time (0.00092 msec.) for testing and (165.19 msec.) for training.
American Psychological Association (APA)
Abd al-Hamid, Umar Yunus. 2020. Detection of coronavirus phishing emails using echo state neural network. ZANCO Journal of Pure and Applied Sciences،Vol. 32, no. 5, pp.78-85.
https://search.emarefa.net/detail/BIM-1388223
Modern Language Association (MLA)
Abd al-Hamid, Umar Yunus. Detection of coronavirus phishing emails using echo state neural network. ZANCO Journal of Pure and Applied Sciences Vol. 32, no. 5 (2020), pp.78-85.
https://search.emarefa.net/detail/BIM-1388223
American Medical Association (AMA)
Abd al-Hamid, Umar Yunus. Detection of coronavirus phishing emails using echo state neural network. ZANCO Journal of Pure and Applied Sciences. 2020. Vol. 32, no. 5, pp.78-85.
https://search.emarefa.net/detail/BIM-1388223
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 85
Record ID
BIM-1388223