Results 11 to 20 of about 204,072 (197)
Comparison of Classification Algorithms for Detection of Phishing Websites [PDF]
Informatica, 2020 Phishing activities remain a persistent security threat, with global losses exceeding 2.7 billion USD in 2018, according to the FBI’s Internet Crime Complaint Center. In literature, different generations of phishing websites detection methods have been observed.
Paulius Vaitkevicius +1 more
openaire +4 more sources
Identification of Phishing Attacks using Machine Learning Algorithm [PDF]
E3S Web of Conferences, 2023 Phishing is a particular type of cybercrime that allows criminals to trick people and steal crucial data. The phishing assault has developed into a more complex attack vector since the first instance was published in 1990.
P.M Dinesh +5 more
doaj +1 more source
Fighting internet fraud: anti-phishing effectiveness for phishing websites detection [PDF]
, 2009 Recently, the Internet has become a very important medium of communication. Many people go online and conduct a wide range of business. They can sell and buy goods, perform different banking activities and even participate in political and social ...
Alnajim, Abdullah M.
core +6 more sources
Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting
Mathematics, 2021 The continuous development of network technologies plays a major role in increasing the utilization of these technologies in many aspects of our lives, including e-commerce, electronic banking, social media, e-health, and e-learning.
Altyeb Taha
doaj +1 more source
Fishing out the Phishing Websites
2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2021 Phishing is a cybercrime in which deceitful websites lure naive users and trick them into disclosing confidential information, such as social media passwords or financial data. Phishing websites are crafted such that they superficially appear similar to popular legitimate websites.
Peya Mowar, Mini Jain
openaire +3 more sources
Improving the phishing website detection using empirical analysis of Function Tree and its variants
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 +10 more
doaj +1 more source
Predicting Phishing Websites using Neural Network trained with Back-Propagation [PDF]
, 2013 Phishing is increasing dramatically with the development of modern technologies and the global worldwide computer networks. This results in the loss of customer’s confidence in e-commerce and online banking, financial damages, and identity theft ...
McCluskey, T.L. +2 more
core +3 more sources
IEEE Access, 2020 Over the last few years, web phishing attacks have been constantly evolving causing customers to lose trust in e-commerce and online services. Various tools and systems based on a blacklist of phishing websites are applied to detect the phishing websites.
Waleed Ali, Sharaf Malebary
doaj +1 more source
Sensors, 2023 Organizations and individuals worldwide are becoming increasingly vulnerable to cyberattacks as phishing continues to grow and the number of phishing websites grows. As a result, improved cyber defense necessitates more effective phishing detection (PD).
Eman Abdullah Aldakheel +4 more
doaj +1 more source
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 +2 more sources