Results 41 to 50 of about 9,881 (133)

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

A Hybrid Approach for Alluring Ads Phishing Attack Detection Using Machine Learning

Sensors, 2023
Phishing attacks are evolving with more sophisticated techniques, posing significant threats. Considering the potential of machine-learning-based approaches, our research presents a similar modern approach for web phishing detection by applying powerful ...
Muhammad Waqas Shaukat, Rashid Amin, Muhana Magboul Ali Muslam, Asma Hassan Alshehri, Jiang Xie   +4 more
doaj   +1 more source

PHISHING WEBSITE DETECTION USING MACHINE LEARNING

Gamification and Augmented Reality
Phishing websites represent a significant hazard to online security as they aim to illicitly obtain sensitive user data. Researchers have developed diverse strategies, incorporating machine learning models, to counter this danger. By analyzing vast datasets containing both phishing and authentic websites, these models identify distinguishing patterns ...
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, Faisal Alzboon, Lujin Alzboon   +4 more
  +6 more sources

Phishing Website Detection Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

Sensors, 2021
Phishing has become one of the biggest and most effective cyber threats, causing hundreds of millions of dollars in losses and millions of data breaches every year.
Rundong Yang, Kangfeng Zheng, Bin Wu, Chunhua Wu, Xiujuan Wang   +4 more
doaj   +1 more source

Deep Learning Based Phishing Websites Detection

International Journal of Advanced Research in Science, Communication and Technology, 2022
Phishing is a crime that involves the theft of confidential user information. Those targeted by phishing websites include individuals, small businesses, cloud storage providers, and government organisations and websites. The majority of phishing prevention techniques involve hardware-based solutions, although software-based options are preferred due of
null Vaibhav Handge, null Shubham Pokale, null Saurabh Lavhate, null Shubham Nalkol, null Prof G. B. Kote   +4 more
openaire   +1 more source

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

Cybersecurity, 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, Adithya MV, Gunesh Prasad S, Vinay S   +3 more
doaj   +1 more source

Security awareness and affective feedback:categorical behaviour vs. reported behaviour [PDF]

, 2017
A lack of awareness surrounding secure online behaviour can lead to end-users, and their personal details becoming vulnerable to compromise. This paper describes an ongoing research project in the field of usable security, examining the relationship ...
Archibald, Jacqueline, Shepherd, Lynsay A.   +1 more
core   +4 more sources

Phishing Website Detection Using Machine Learning

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: The growing internet user base and reliance on online platforms have led to a growing concern of phishing attacks. Conventional anti-phishing techniques struggle to keep up with evolving tactics. This research proposes a novel approach using machine learning algorithms to combat phishing attacks in real-time.
H V Kishan Kumar, Praveen K S
openaire   +1 more source

Detection and classification of phishing websites [PDF]

Trends 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.
P Manoj, Y Bhuvan Kumar, D Rakshitha, G Megha   +3 more
openaire   +1 more source

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