Results 11 to 20 of about 3,253,884 (197)

Improving the phishing website detection using empirical analysis of Function Tree and its variants [PDF]

Heliyon, 2021
The phishing attack is one of the most complex threats that have put internet users and legitimate web resource owners at risk. The recent rise in the number of phishing attacks has instilled distrust in legitimate internet users, making them feel less ...
Abdullateef O. Balogun, Kayode S. Adewole, Muiz O. Raheem, Oluwatobi N. Akande, Fatima E. Usman-Hamza, Modinat A. Mabayoje, Abimbola G. Akintola, Ayisat W. Asaju-Gbolagade, Muhammed K. Jimoh, Rasheed G. Jimoh, Victor E. Adeyemo   +10 more
doaj   +2 more sources

Phishing Website Detection Using Machine Learning: A Review [PDF]

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   +2 more sources

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

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   +2 more sources

Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation

Cryptography, 2022
This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with the deficiencies of the knowledge-based representation and the binary decision. The suggested detection method was performed using Fuzzy
Mohammad Almseidin, Mouhammad Alkasassbeh, Maen Alzubi, Jamil Al-Sawwa   +3 more
doaj   +2 more sources

Phishing Detection via Identification of Website Identity [PDF]

2013 International Conference on IT Convergence and Security (ICITCS), 2013
In this paper, we propose an anti-phishing method to protect Internet users from the phishing attacks. The scope of our study is on the Internet phishing, particularly focusing on the detection of phishing website. In order to do that, our proposed method will render a screenshot of the webpage and segment the region of interest, which consists of the ...
Ee Hung Chang, Kang-Leng Chiew, San-Nah Sze, Wei King Tiong   +3 more
openaire   +4 more sources

Heuristic machine learning approaches for identifying phishing threats across web and email platforms [PDF]

Frontiers in Artificial Intelligence
Life has become more comfortable in the era of advanced technology in this cutthroat competitive world. However, there are also emerging harmful technologies that pose a threat.
Ramprasath Jayaprakash, Krishnaraj Natarajan, J. Alfred Daniel, Chandru Vignesh Chinnappan, Jayant Giri, Hong Qin, Hong Qin, Saurav Mallik, Saurav Mallik   +8 more
doaj   +2 more sources

Improving phishing email detection performance through deep learning with adaptive optimization [PDF]

Scientific Reports
Phishing 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, Usman Ali, Saqib Ali, Ramin Abbaszadi, Farhad Soleimanian Gharehchopogh, Parisa Khoshvaght, Thantrira Porntaveetus, Jan Lansky   +7 more
doaj   +2 more sources

EMBEDDING AND WEIGHTING OF WEBSITE FEATURES FOR PHISHING DETECTION [PDF]

Facta Universitatis, Series: Mathematics and Informatics
One of the most common cyber threats are phishing attacks. During a phishing attack, attackers use various technical and social engineering tricks to try to lure victims to a phishing website. The website looks like it belongs to a trusted organization but is actually run by the attackers and used to mislead victims into revealing their passwords ...
Stevanović, Nikola
openaire   +2 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, Jeffrey Choo Soon Fatt, San-Nah Sze, Kelvin Sheng Chek Yong   +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, Badkul Soumya, Gharat Kimaya, Vidhate Amarsinh, Bhosale Dhanashri   +4 more
doaj   +1 more source