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Phishing Detection in emails using Multi-Convolutional Neural Network Fusion

Babu, Dharani Kumar (2022) Phishing Detection in emails using Multi-Convolutional Neural Network Fusion. Masters thesis, Dublin, National College of Ireland.

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In today's world, people prefer doing business and other transactions in digital format as the technology and usage of the internet have grown. The high usage of online activities made the attackers discharge criminal activities online. Cybercriminals use the online platform as a tool to steal the user's personal and sensitive information. The large-scale damage had been recorded that the attackers had launched against organizations. This results in a loss of customer trust that they build and millions of dollars in lost data. The victim can be an individual, or it can be an organization. Phishing attacks have become the most common way for an attacker to trick a user into falling into a trap in order to gain access. Hence, this paper proposes phishing detection in emails using multi-convolutional neural network fusion to detect legitimate and phishing URLs. The proposed method validates the URLs without accessing the contents. This study provides guidelines for constructing a robust security defense system so that attackers cannot bypass technical defenses and steal confidential data.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Emails; phishing detection; Deep learning; Convolutional neural Network
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
H Social Sciences > HV Social pathology. Social and public welfare > Criminology > Crimes and Offences > Cyber Crime
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > Electronic Mail
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > Electronic Mail
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Clara Chan
Date Deposited: 24 Nov 2022 17:48
Last Modified: 24 Nov 2022 18:59

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