Results 1 to 10 of about 1,135 (168)

Detecting phishing websites using machine learning technique.

open access: yesPLoS ONE, 2021
In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions.
Ashit Kumar Dutta
doaj   +1 more source

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites

open access: yesIEEE Access, 2022
Phishing is a cyber attack that tricks the online users into revealing sensitive information with a fake website imitating a legitimate website. The attackers with stolen credentials not only use them for the targeted website but also can be used for ...
Lakshmana Rao Kalabarige   +3 more
doaj   +1 more source

Phishing Detection via Identification of Website Identity [PDF]

open access: yes2013 International Conference on IT Convergence and Security (ICITCS), 2013
In this paper, we propose an anti-phishing method to protect Internet users from the phishing attacks. The scope of our study is on the Internet phishing, particularly focusing on the detection of phishing website. In order to do that, our proposed method will render a screenshot of the webpage and segment the region of interest, which consists of the ...
Ee Hung Chang   +3 more
openaire   +1 more source

Component features based enhanced phishing website detection system using EfficientNet, FH-BERT, and SELU-CRNN methods

open access: yesFrontiers in Computer Science
IntroductionPhishing is a type of cybercrime used by hackers to steal sensitive user information, making it essential to detect phishing attacks on websites.
Mahmoud Murhej, G. Nallasivan
doaj   +1 more source

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection

open access: yesIEEE Open Journal of the Communications Society
Advancement of the Internet has increased security risks associated with data protection and online shopping. Several techniques compromise Internet security, including hacking, SQL injection, phishing attacks, and DNS tunneling.
Shakeel Ahmad   +6 more
doaj   +1 more source

Detection of Phishing Websites

open access: yesInternational Journal of Innovative Science and Research Technology (IJISRT)
Phishing is a cyber attack in which an attacker creates a copy of an existing web page to trick users into submitting personal, financial or password information, making them think that this is the real website that everyone uses. The strategy followed here is an edge server-based anti-phishing algorithm called “Link Guard” uses the property of ...
Avaneesh C S   +3 more
openaire   +1 more source

Life-long phishing attack detection using continual learning

open access: yesScientific Reports, 2023
Phishing is an identity theft that employs social engineering methods to get confidential data from unwary users. A phisher frequently attempts to trick the victim into clicking a URL that leads to a malicious website.
Asif Ejaz   +2 more
doaj   +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

Improving Auto-Detection of Phishing Websites using Fresh-Phish Framework

open access: yesInternational Journal of Multimedia Data Engineering and Management, 2020
Denizens of the Internet are under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi   +2 more
openaire   +1 more source

A mobile sensing method to counteract social media website impersonation

open access: yesInternational Journal of Distributed Sensor Networks, 2016
Phishing is a serious threat to online users, especially since attackers have tremendously improved their techniques in impersonating important websites. With websites looking visually the same, users are fooled more easily.
Mohamed Y ELMassry, Ahmad S AlMogren
doaj   +1 more source

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