A lightweight and proactive rule-based incremental construction approach to detect phishing scam

M. SatheeshKumar (), K. G. Srinivasagan () and G. UnniKrishnan ()
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M. SatheeshKumar: National Engineering College
K. G. Srinivasagan: National Engineering College
G. UnniKrishnan: Mindtree

Information Technology and Management, 2022, vol. 23, issue 4, No 3, 298 pages

Abstract: Abstract The development of digitization over the globe has made digital security inescapable. As every single article on this planet is being digitalized quickly, it is more important to protect those items. Numerous cyber threats effectively deceive ordinary individuals to take away their identifications. Phishing is a kind of social engineering attack where the hackers are using this kind of attack in modern days to steal the user's credentials. After a systematic research analysis of phishing technique and email scam, an intrusion detection system in chrome extension is developed. This technique is used to detect real-time phishing by examining the URL, domain, content and page attributes of an URL prevailing in an email and any web page portion. Considering the reliability, robustness and scalability of an efficient phishing detection system, we designed a lightweight and proactive rule-based incremental construction approach to detect any unknown phishing URLs. Due to the computational intelligence and nondependent of the blacklist signatures, this application can detect the zero-day and spear phishing attacks with a detection rate of 89.12% and 76.2%, respectively. The true positive values acquired in our method is 97.13% and it shows less than 1.5% of false positive values. Thus the application shows the precision level higher than the previous model developed and other phishing techniques. The overall results indicate that our framework outperforms the existing method in identifying phishing URLs.

Keywords: Phishing URL; Email scam; Spear phishing; Zero-day attack; Browser extension; Heuristic intrusion detection system (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10799-021-00351-7

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