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, 2021 Phishing attacks are the work of social engineering. They are used to trick users to obtain their sensitive/private information using malicious links, websites, and electronic messages.
Ma, Kewei
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PHISHSIM: Phishing Website Detection
International Research Journal on Advanced Engineering and Management (IRJAEM)In this paper, we introduce a powerful new approach for detecting phishing websites that is entirely feature-free. Our method, called PhishSim, uses the Normalized Compression Distance (NCD), a technique that requires no specialized parameters. NCD works by measuring the similarity of two websites through compression, eliminating the time and effort ...
null Nivyashree R +4 more
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Design of Efficient Phishing Detection Model using Machine Learning
Tehnički GlasnikRecently, there have been cases of phishing attempts to steal personal information through fake sites disguised as major sites. Although phishing attacks continue and increase, countermeasures remain in the form of defense after identifying the attack ...
Bong-Hyun Kim
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Journal of Applied Informatics and ComputingPhishing remains a persistent cybersecurity threat, evolving rapidly to bypass traditional blacklist-based detection systems. Machine Learning (ML) approaches offer a promising solution, yet finding the optimal balance between detection accuracy and ...
Rahmat Fauzi Abu Bakar, Majid Rahardi
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Detecting Phishing Website with Machine Learning
International Journal of Recent Technology and Engineering (IJRTE), 2019 Attacks are many types to disturb the network or any other websites. Phishing attacks (PA) are a type of attacks which attack the website and damage the website and may lose the data. Many types of research have been done to prevent the attacks. To overcome this, in this paper, the integrated phishing attack detection system which is adopted with SVM ...
Smt.V. Priya Darshini* +2 more
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IEEE AccessRecent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity, particularly in detecting phishing websites. Traditional methods struggle to address evolving vulnerabilities, but research shows that Machine Learning (ML ...
Phan The Duy +5 more
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A Lightweight Anti-Phishing Technique for Mobile Phone
Acta Informatica Pragensia, 2017 Mobile phones have become an essential device for accessing the web. This is due to the advantages of portability, lower cost and ease. However, the adoption of mobile phones for online activities is now being challenged by myriads of cybercrimes. One of
Abdul Abiodun Orunsolu +4 more
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Phishing website detection [PDF]
, 2018 The Internet has become an integral part of our daily social and financial activities. The Internet is important not only for individual users, but also for organizations, as organizations that offer online commerce can gain a competitive advantage by ...
Nur Sholihah, Zaini
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Cyber Security and ApplicationsPhishing attacks represent a growing threat to online users and software developers, necessitating the development of advanced detection strategies. This study proposes a hybrid framework that integrates convolutional neural networks (CNN) for feature ...
Santosh Kumar Birthriya +2 more
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Phish Guard Phishing Website using Machine Learning Algorithms [PDF]
Phishing attacks pose a significant threat to individuals and organizations, leading to substantial financial and reputational damage. Traditional detection methods, such as blacklists and signature-based techniques, often fall short in identifying ...
Vinita, Singh +5 more
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