Results 1 to 10 of about 9,881 (133)
DeltaPhish: Detecting Phishing Webpages in Compromised Websites [PDF]
, 2017 The large-scale deployment of modern phishing attacks relies on the automatic exploitation of vulnerable websites in the wild, to maximize profit while hindering attack traceability, detection and blacklisting.
AY Fu +17 more
core +4 more sources
Detecting phishing websites using machine learning technique.
PLoS ONE, 2021 In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions.
Ashit Kumar Dutta
doaj +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
International Journal for Research in Applied Science and Engineering TechnologyAbstract: Phishing is an online threat where an attacker impersonates an authentic and trustworthy organization to obtain sensitive information from a victim. One example of such is trolling, which has long been considered a problem. However, recent advances in phishing detection, such as machine learning-based methods, have assisted in combatting ...
Abhijith Gowda BN, Dawood +1 more
+5 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
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
International Journal of Scientific Research in Science and Technology, 2022 It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity.
null Mr. Tahir Naquash H B +4 more
openaire +1 more source
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
Machine Learning and Knowledge Extraction, 2021 With the development of the Internet, network security has aroused people’s attention. It can be said that a secure network environment is a basis for the rapid and sound development of the Internet. Phishing is an essential class of cybercriminals which
Lizhen Tang, Qusay H. Mahmoud
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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