Results 21 to 30 of about 1,135 (168)
A Hybrid Approach for Alluring Ads Phishing Attack Detection Using Machine Learning [PDF]
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 +4 more
doaj +2 more sources
A State-of-the-Art Review on Phishing Website Detection Techniques
IEEE AccessPhishing 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 +4 more
doaj +3 more sources
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
IEEE Access, 2019 As a crime of employing technical means to steal sensitive information of users, phishing is currently a critical threat facing the Internet, and losses due to phishing are growing steadily.
Peng Yang, Guangzhen Zhao, Peng Zeng
doaj +3 more sources
Improving phishing email detection performance through deep learning with adaptive optimization [PDF]
Scientific ReportsPhishing email attacks are becoming increasingly sophisticated, placing a heavy burden on cybersecurity, which requires more advanced detection techniques. Attackers often craft emails that closely resemble those from trusted sources, making it difficult
Mehdi Hosseinzadeh +7 more
doaj +2 more sources
Phishing Website Detection Using Deep Learning Models
IEEE AccessThis research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ensemble learning, and deep learning algorithms.
Ume Zara +5 more
doaj +3 more sources
Leverage Website Favicon to Detect Phishing Websites [PDF]
Security and Communication Networks, 2018 Phishing attack is a cybercrime that can lead to severe financial losses for Internet users and entrepreneurs. Typically, phishers are fond of using fuzzy techniques during the creation of a website. They confuse the victim by imitating the appearance and content of a legitimate website.
Kang-Leng Chiew +3 more
openaire +3 more sources
Detection of Phishing Websites Using Ensemble Machine Learning Approach [PDF]
ITM Web of Conferences, 2021 In this paper, we propose the use of Ensemble Machine Learning Methods such as Random Forest Algorithm and Extreme Gradient Boosting (XGBOOST) Algorithm for efficient and accurate phishing website detection based on its Uniform Resource Locator. Phishing
M. Dharani +4 more
doaj +1 more source
Phishing-Inspector: Detection & Prevention of Phishing Websites [PDF]
ITM Web of Conferences, 2020 With a tremendous boost in technologies & available learning material developing any website has become very easy. Due to this the number of websites are exponentially growing day by day. The traditional approach of comparing websites with Blacklist and whitelist is not so efficient.
Doke Tanmay +3 more
openaire +2 more sources
Phishing Website Detection Using Machine Learning: A Review
Wasit Journal for Pure Sciences, 2023 Phishing, a form of cyber attack in which perpetrators employ fraudulent websites or emails to Deceive individuals into divulging sensitive information such as passwords or financial data, can be mitigated through various machine-learning algorithms for
marwa al saedi, Nahla Abbas Flayh
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 +5 more
doaj +1 more source