An Improved Web Fraud Detector And Preventive System With Cortical Algorithm
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© 2021 by IJCTT Journal
Volume-69 Issue-10
Year of Publication : 2021
Authors : DR. Laeticiannekaonyejegbu, Bunmi Deborah Millennial-Oriagbo
DOI :  10.14445/22312803/IJCTT-V69I10P108

How to Cite?

DR. Laeticiannekaonyejegbu, Bunmi Deborah Millennial-Oriagbo, "An Improved Web Fraud Detector And Preventive System With Cortical Algorithm," International Journal of Computer Trends and Technology, vol. 69, no. 10, pp. 47-51, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I10P108

Abstract
Web fraud contents prevention and detection is now an important topic in the discipline of information security owing to the powerful emerging techniques often utilized by hackers to compromise a user computer system. Some or few web pages are benign midst the majority of web pages contain malicious web content. Most anti-virus packages in use are based on the use of signature-based access, and these are not able to reveal camouflaged malicious HTML codes. Hence, this project work proposed a malicious web page detective and preventive measure using the cortical algorithm approach of machine learning. This project examines the behavior of malicious web pages, compares the existing Naïve Bayes algorithm used in the detection of malicious web content with the proposed Cortical algorithm used for the design and implementation of this new system. Experimental results reveal that the new system is not just capable of detecting the malicious web content on webpages perfectly; it’s also capable of removing iFrames and blocking Popups meant to cause distractions and to frustrate the user`s efforts while working on the computer system. This research is the first of its kind to effectively block Popups and remove iFrames with the use of CORTICAL ALGORITHM.

Keywords
Web Fraud Detector, Cortical.

Reference

[1] Kaspersky Labs., (2017) What is malware, and how to defend against it? www document. Available at: http://usa.kaspersky.com/internet-security center/internetsafety/what-is-malware-and-how-to-protect-against- it#.WJZS9xt942x. [Accessed 15 February 2017]
[2] Juniper Research. (2016). Cybercrime will cost businesses over $2 trillion by 2019. www document. Available at: https://www.juniperresearch.com/press/press-releases/cybercrime- cost-businesses-over-2trillion. [Accessed on 15 February 2017]
[3] Karl A. McCabe … US7607171B1 (en) *, 2002-01-17, 2009-10-20, Avinti, Inc … US20090271867A1
[4] Edelman, Gerald M., and Vernon B. Mountcastle., The Mindful Brain: Cortical Organization and the Group-Selective Theory of Higher Brain Function. Cambridge, MA: Massachusetts Institute of Technology Press, (1978).
[5] Surendiran,R., Similarity Matrix Approach in Web Clustering. Journal of Applied Science and Computations (JASC), 5(1) (2018) 267-272. DOI:16.10089.JASC.2018.V5I1.140146.22858
[6] C. Jacobs, A. Finkelstein, and D. Salesin, Fast multi-resolution image querying, in Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH’95), (1995) 277–286. Los Angeles, Calif, USA.
[7] Ankit Kumar Jain and B. B. Gupta ., Phishing Detection: Analysis of Visual Similarity-Based Approaches National Institute of Technology, Kurukshetra, India, (2017).