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Phishing Website Detection

open access: yesInternational Journal of Scientific Research in Science and Technology, 2022
It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity.
null Mr. Tahir Naquash H B   +4 more
openaire   +1 more source

A Lightweight Multi-View Learning Approach for Phishing Attack Detection Using Transformer with Mixture of Experts

open access: yesApplied Sciences, 2023
Phishing poses a significant threat to the financial and privacy security of internet users and often serves as the starting point for cyberattacks.
Yanbin Wang   +4 more
doaj   +1 more source

Evolutionary Algorithm with Deep Auto Encoder Network Based Website Phishing Detection and Classification

open access: yesApplied Sciences, 2022
Website phishing is a cyberattack that targets online users for stealing their sensitive data containing login credential and banking details. The phishing websites appear very similar to their equivalent legitimate websites for attracting a huge amount ...
Hamed Alqahtani   +7 more
doaj   +1 more source

A Method for Domain Detection and Web Page Analysis Targeting Web3 Phishing Websites [PDF]

open access: yesJisuanji gongcheng
As the paradigm of ″decentralized next-generation Internet,″ Web3, relying on blockchain technology, has become an emerging field with great potential in the digital intelligence service ecosystem. However, Web3 phishing websites pose a serious threat to
LIU Ronglong, LI Ziwei, WAN Yue, WU Jiajing, JIANG Zigui
doaj   +1 more source

MACHINE LEARNING METHODS FOR PHISHING ATTACKS

open access: yesJournal of Problems in Computer Science and Information Technologies, 2023
The basis of cybersecurity is an understanding of the mechanisms of social engineering. This increases the effectiveness in combating this type of manipulation. One of them is phishing.
Mirat Medelbekov   +2 more
doaj   +1 more source

Characteristics of Understanding URLs and Domain Names Features: The Detection of Phishing Websites With Machine Learning Methods

open access: yesIEEE Access, 2022
Along with the means of communication, it has also prompted the birth of more harmful, and challenging websites in the device of information systems, and electronics.
Ilker Kara, Murathan Ok, Ahmet Ozaday
doaj   +1 more source

A new phishing-website detection framework using ensemble classification and clustering [PDF]

open access: yesInternational Journal of Data and Network Science, 2023
Phishing websites are characterized by distinguished visual, address, domain, and embedded features, which identify and defend such threats. Yet, phishing website detection is challenged by overlapping these features with legitimate websites ...
Mohammad A. Alsharaiah   +6 more
doaj   +1 more source

Detection and classification of phishing websites [PDF]

open access: yesTrends in Computer Science and Information Technology, 2021
‘Phishing sites’ are some type of the internet security issues that mainly targets the human vulnerabilities compared to software vulnerabilities. Phishing sites are malicious websites that imitate as legitimate websites or web pages and aim to steal user’s personal credentials like user id, password, and financial information.
Manoj P   +3 more
openaire   +1 more source

An Enhanced Anti-phishing Scheme to Detect Phishing Website

open access: yesIOP Conference Series: Materials Science and Engineering, 2021
AbstractPhishing is a network attack in which attacker generates a replica of current legitimate site to contrivance the users into submitting their personal and sensitive information. A good anti-phishing solution should have rapid access time and rapid detection rate, but most of the existing solutions fail to satisfy it.
Vani Rajasekar   +4 more
openaire   +1 more source

A Deep Learning-Based Framework for Phishing Website Detection

open access: yesIEEE Access, 2022
Phishing attackers spread phishing links through e-mail, text messages, and social media platforms. They use social engineering skills to trick users into visiting phishing websites and entering crucial personal information.
Lizhen Tang, Qusay H. Mahmoud
doaj   +1 more source

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