Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Phishing attacks have been identified by researchers as one of the major cyber-attack vectors which the general public has to face today. Although software companies launch new anti-phishing products, these products cannot prevent all the phishing attacks. The proposed solution, “No Fish” is a total anti-phishing protection system created especially for end-users as well as for organizations. In this paper, a realtime anti-phishing system, which has been implemented using four main phishing detection mechanisms, is proposed. The system has the following distinguishing properties from related studies in the literature: language independence, use of a considerable amount of phishing and legitimate data, real-time execution, detection of new websites, detecting zero-hour phishing attacks and use of feature-rich classifiers, visual image comparison, DNS phishing detection, email client plug in and specially the overall system has designed to the levelbased security architecture to reduce the time-consumption.
r.a.h.devdunie_pabasara. 2020. \u201cNoFish; Total Anti-Phishing Protection System\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 20 (GJCST Volume 20 Issue E3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 104
Country: Unknown
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: R.A.H.Devdunie Pabasara, Dhanushka Niroshan Atimorathanna, Tharindu Shehan Ranaweera, Jayani Rukshila Perera (PhD/Dr. count: 0)
View Count (all-time): 275
Total Views (Real + Logic): 4218
Total Downloads (simulated): 1031
Publish Date: 2020 12, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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Phishing attacks have been identified by researchers as one of the major cyber-attack vectors which the general public has to face today. Although software companies launch new anti-phishing products, these products cannot prevent all the phishing attacks. The proposed solution, “No Fish” is a total anti-phishing protection system created especially for end-users as well as for organizations. In this paper, a realtime anti-phishing system, which has been implemented using four main phishing detection mechanisms, is proposed. The system has the following distinguishing properties from related studies in the literature: language independence, use of a considerable amount of phishing and legitimate data, real-time execution, detection of new websites, detecting zero-hour phishing attacks and use of feature-rich classifiers, visual image comparison, DNS phishing detection, email client plug in and specially the overall system has designed to the levelbased security architecture to reduce the time-consumption.
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