Results 31 to 40 of about 7,019 (217)

Phishing Detection

, 2019
The dataset is used for research study for intelligent phishing detection based on 35 features of image, frame and ...
Adebowale, M
core   +3 more sources

A State-of-the-Art Review on Phishing Website Detection Techniques

IEEE Access
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as a primary tool for attackers to deceive users and steal sensitive information.
Wenhao Li, Selvakumar Manickam, Yung-Wey Chong, Weilan Leng, Priyadarsi Nanda   +4 more
doaj   +1 more source

Survey on phishing detection research

网络与信息安全学报, 2020
With the continuous development of the internet,the threat posed by phishing to people's daily lives is increasing.As a core security technology against phishing attacks,phishing detection technology can help people effectively avoid security threats ...
Xi FU, Hui LI, Xingwen ZHAO
doaj   +3 more sources

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

IEEE 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, Victor Elijah Adeyemo, Abdullateef Oluwagbemiga Balogun, Ammar Kareem Alazzawi   +3 more
doaj   +1 more source

HinPhish: An Effective Phishing Detection Approach Based on Heterogeneous Information Networks

Applied Sciences, 2021
Internet users have suffered from phishing attacks for a long time. Attackers deceive users through malicious constructed phishing websites to steal sensitive information, such as bank account numbers, website usernames, and passwords.
Bingyang Guo, Yunyi Zhang, Chengxi Xu, Fan Shi, Yuwei Li, Min Zhang   +5 more
doaj   +1 more source

Intelligent phishing detection system for e-banking using fuzzy data mining

, 2010
Detecting and identifying any phishing websites in real-time, particularly for e-banking, is really a complex and dynamic problem involving many factors and criteria. Because of the subjective considerations and the ambiguities involved in the detection,
Hossain, Alamgir, Aburrous, Maher, Hossain, M. A., Dahal, Keshav, Thabtah, F., Thabtah, Fadi   +5 more
core   +1 more source

Machine-Learning Techniques for Predicting Phishing Attacks in Blockchain Networks: A Comparative Study

Algorithms, 2023
Security in the blockchain has become a topic of concern because of the recent developments in the field. One of the most common cyberattacks is the so-called phishing attack, wherein the attacker tricks the miner into adding a malicious block to the ...
Kunj Joshi, Chintan Bhatt, Kaushal Shah, Dwireph Parmar, Juan M. Corchado, Alessandro Bruno, Pier Luigi Mazzeo   +6 more
doaj   +1 more source

Phishing detection in early detection stage using features related to the affected brand

, 2023
El phishing es uno de los ataques cibernéticos sufridos por los usuarios de servicios transaccionales a través de Internet, si bien existe investigación enfocada en detectar ataques de phishing y la literatura muestra resultados con alta efectividad en ...
Barreiro Herrera, Daniel Alejandro
core   +1 more source

AI-Based Phishing Detection and Student Cybersecurity Awareness in the Digital Age

Big Data and Cognitive Computing
Phishing attacks are an increasingly common cybersecurity threat and are characterized by deceiving people into giving out their private credentials via emails, websites, and messages.
Zeinab Shahbazi, Rezvan Jalali, Maryam Molaeevand   +2 more
doaj   +1 more source

Phishing Attacks: Detection And Prevention

CoRR, 2020
5 pages, 7 figures, 1 table, essential ...
openaire   +2 more sources