https://socictopen.socict.org/files/original/7ad3a459bb79d6782b0da775e31bba83.pdf badd02056e9b74522768e9788f80961b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Detection of Coronavirus Phishing Emails using Echo State Neural Network Creator An entity primarily responsible for making the resource omar younis Description An account of the resource 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. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, Features, Phishing, E-mail, ESN, legitimate Identifier An unambiguous reference to the resource within a given context 10.21271/ZJPAS.32.5.7 Source A related resource from which the described resource is derived Zanco Journal of Pure and Applied Sciences Publisher An entity responsible for making the resource available Salahaddin University-Erbil Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Technology