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Detection of phishing attacks

2018 6th International Symposium on Digital Forensic and Security (ISDFS), 2018
Phishing is a form of cybercrime where an attacker imitates a real person / institution by promoting them as an official person or entity through e-mail or other communication mediums. In this type of cyber attack, the attacker sends malicious links or attachments through phishing e-mails that can perform various functions, including capturing the ...
Muhammet Baykara, Zahit Ziya Gurel
openaire   +1 more source

Phishing Detection Methods

This chapter explores the evolution of phishing detection methods, present traditional, advanced, and hybrid approaches. Traditional methods provide a base layer of defense, but their effectiveness is limited against adaptive attacks. Advanced techniques employ machine learning (ML) and deep learning (DL) to enhance detection accuracy and leveraging ...
Sally D. Abualgasim, Zeinab E. Ahmed
openaire   +1 more source

Proactive Phishing Sites Detection

IEEE/WIC/ACM International Conference on Web Intelligence, 2019
Phishing is one of the social engineering techniques to steal users’ sensitive information by disguising a fake Web site as a trustworthy one. Previous research proposed phishing mitigation techniques, such as blacklist, heuristics, visual similarity, and machine learning.
Akihito Nakamura, Fuma Dobashi
openaire   +1 more source

Phishing Web page detection

Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
An approach to detection of phishing Web pages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution to antiphishing. A legitimate Web page owner can use this approach to search the Web for suspicious Web pages which are visually similar to the true Web page.
null Liu Wenyin   +4 more
openaire   +1 more source

Phishing Detection Using MLT

International Journal on Science and Technology
—The Internet has become an indispensable part of our life, However, It also has provided opportunities to anony- mously perform malicious activities like Phishing. Phishers try to deceive their victims by social engineering or creating mock- up websites to steal information such as account ID, username, password from individuals and organizations.
JAYASURYA S R -   +2 more
openaire   +1 more source

Spear Phishing Detection

2022
Shibayan Mondal   +4 more
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

URL BASED PHISHING DETECTION

International Scientific Journal of Engineering and Management
Phishing attacks, which deceive users into revealing sensitive information by mimicking legitimate websites, pose a growing threat in the digital age. To address this challenge, we propose a machine learning- based system for detecting phishing URLs.
Ms.MADHU T, Ms. MONICA M, Ms. SHYMA S
openaire   +1 more source

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