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Enterprise Credential Spear-phishing attack detection

Al-Hamar, Y, Kolivand, H, Tajdini, M, Saba, T and Ramachandran, V (2021) Enterprise Credential Spear-phishing attack detection. Computers and Electrical Engineering, 94. ISSN 0045-7906

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The latest report by Kaspersky on email Spam and targeted Phishing attacks, by percentage, highlights the need of an urgent solution. Attachment-driven Spear-phishing struggles to succeed against many email providers’ malware-filtration systems, which proactively check emails for malicious software. In this paper, we provided a solution that can detect targeted Spear-phishing attacks based on required similarities in the specific domain which it has been targeted. The strategy is to figure out whether the domain is genuine or a forgery, which is to be evaluated by multi novel grading algorithms. Therefore, this research addresses targeted attacks on specific organisations by presenting a new enterprise solution. This detection system focuses on domain names, which tend to be registered domain names trusted by the victims. The results from this investigation show that this detection system has proven its ability to reduce email phishing attacks significantly.

Item Type: Article
Uncontrolled Keywords: 0803 Computer Software, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 03 Sep 2021 09:58
Last Modified: 18 Aug 2022 00:50
DOI or ID number: 10.1016/j.compeleceng.2021.107363
URI: https://researchonline.ljmu.ac.uk/id/eprint/15437
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