Results 11 to 20 of about 2,301 (212)

Leverage Website Favicon to Detect Phishing Websites [PDF]

open access: yesSecurity 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

Comparison of Classification Algorithms for Detection of Phishing Websites [PDF]

open access: yesInformatica, 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   +3 more sources

DeltaPhish: Detecting Phishing Webpages in Compromised Websites [PDF]

open access: yes, 2017
Preprint version of the work accepted at ESORICS ...
Corona, Igino   +8 more
openaire   +5 more sources

Identification of Phishing Attacks using Machine Learning Algorithm [PDF]

open access: yesE3S 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

Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting

open access: yesMathematics, 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

open access: yes2021 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

open access: yesHeliyon, 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

Particle Swarm Optimization-Based Feature Weighting for Improving Intelligent Phishing Website Detection

open access: yesIEEE 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

A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators

open access: yesSensors, 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

Phishing Website Detection

open access: yesIndian Journal of Data Mining
Phishing websites have emerged as a serious security risk. Phishing is the starting point for many cyberattacks that compromise the confidentiality, integrity, and availability of customer and business data. Decades of effort have gone into developing novel methods for automatically identifying phishing websites.
null Joshma K J, Vineetha Sankar P
  +6 more sources

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