Results 41 to 50 of about 1,135 (168)

Intelligent Methods for Accurately Detecting Phishing Websites [PDF]

open access: yes2020 11th International Conference on Information and Communication Systems (ICICS), 2020
With increasing technology developments, there is a massive number of websites with varying purposes. But a particular type exists within this large collection, the so-called phishing sites which aim to deceive their users. The main challenge in detecting phishing websites is discovering the techniques that have been used.
Almaha Abuzuraiq   +2 more
openaire   +2 more sources

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

An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders

open access: yesIET Information Security, 2023
Phishing attacks have become one of the powerful sources for cyber criminals to impose various forms of security attacks in which fake website Uniform Resource Locators (URL) are circulated around the Internet community in the form of email, messages etc.
Manoj Kumar Prabakaran   +2 more
doaj   +1 more source

PHISHING URL DETECTION WEBSITE

open access: yesInternational Journal of Innovative Research in Advanced Engineering, 2022
Phishing websites are one of the types of internet security issues that target human vulnerabilities rather than software flaws. It's the technique of luring online users in order to get sensitive information like usernames and passwords. We present an intelligent technique for detecting phishing websites in this research.
Mahalakshmi BR   +3 more
openaire   +1 more source

DeltaPhish: Detecting Phishing Webpages in Compromised Websites [PDF]

open access: yes, 2017
Preprint version of the work accepted at ESORICS ...
Corona, Igino   +8 more
openaire   +4 more sources

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

open access: yesIEEE Access, 2023
Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social engineering attacks where an attacker deceives users by sending fake messages using social media platforms or emails.
Sultan Asiri   +4 more
doaj   +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

Email Phishing: An Enhanced Classification Model to Detect Malicious URLs [PDF]

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2019
Phishing is the process of enticing people into visiting fraudulent websites and persuading them to enter their personal information. Number in phishing email are spread with the aim of making web users believe that they are communicating with a trusted ...
Shweta Sankhwar   +2 more
doaj   +1 more source

Development of anti-phishing browser based on random forest and rule of extraction framework

open access: yesCybersecurity, 2020
Phishing is a technique under Social Engineering attacks which is most widely used to get user sensitive information, such as login credentials and credit and debit card information, etc.
Mohith Gowda HR   +3 more
doaj   +1 more source

AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites

open access: yesIEEE Access, 2020
Phishing is a type of social web-engineering attack in cyberspace where criminals steal valuable data or information from insensitive or uninformed users of the internet.
Yazan Ahmad Alsariera   +3 more
doaj   +1 more source

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