Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4584
Title: Phishing Website Detection
Authors: Botejue, J.W.I.A.
Issue Date: 23-May-2022
Abstract: Online phishing is certainly considered one among the largest and maximum famous net crime programs. Phishing Attackers are sorting out new strategies like phishing to trick sufferers into the use of faux web sites to acquire touchy facts like on-line account credentials, usernames, passwords, etc. Phishing is the maximum typically used social engineering method that goals to make the weakest point discovered in device techniques as as a result of device users. a preferred step is to evaluate laptop addresses to a blacklist of rated phishing web sites, which generally help guide scanning and are ineffective. As the internet evolves, computerized URL detection has step by step come to be crucial to imparting speedy safety to quit users. Phishing is taken into consideration a shape of internet chance described because the artwork of impersonating valid company web sites designed to gain touchy records. Currently there is no one-size-fits-all strategy to catching each phishing attack. In this article, a real-time anti-phishing machine, which makes use of seven exclusive type algorithms and functions primarily based totally on cope with bar, functions primarily based totally on Html and JavaScript, and functions primarily based totally on domain, is offered. The machine reveals the subsequent figuring out residences from opportunity research withinside the literature: linguistic independence, use of a massive length of phishing and valid information, execution period, detection of latest websites, independence from vis-à-vis third-celebration offerings and use of feature-wealthy functions. classifiers. To degree the overall performance of the machine, a alternative information set is constructed, and the experimental outcomes also are examined on it. constant with the experimental and comparative outcomes of the algorithmic compelled type program. In this thesis, an green and bendy phishing detection system comes with diverse capabilities that reflect the distinct capabilities of a phishing internet site and a chrome extension to test whether the internet site is a valid internet site or not..
URI: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4584
Appears in Collections:2021

Files in This Item:
File Description SizeFormat 
2018 BA 005.pdf936.54 kBAdobe PDFView/Open


Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.