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Datasets for phishing websites detection [PDF]
Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text messages, or websites.
Grega Vrbančič +2 more
doaj +4 more sources
PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification
Recent studies have shown that phishers are using phishing kits to deploy phishing attacks faster, easier and more massive. Detecting phishing kits in deployed websites might help to detect phishing campaigns earlier.
Felipe Castaño +2 more
exaly +6 more sources
Dr. Phish: Phishing Website Detector [PDF]
Phishing is a common attack on credulous people by making them disclose their unique information. It is a type of cyber-crime where false sites allure exploited people to give delicate data.
Kumar Harish +4 more
doaj +3 more sources
Phishing-Inspector: Detection & Prevention of Phishing Websites [PDF]
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.
Doke Tanmay +3 more
doaj +2 more sources
Phishing or Not Phishing? A Survey on the Detection of Phishing Websites
Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still very active and successful.
Rasha Zieni +2 more
doaj +3 more sources
Phishing attack is now a big threat to people's daily life and networking environment. Through disguising illegal URLs as legitimate ones, attackers can induce users to visit the phishing URLs to get private information and other benefits.
Erzhou Zhu, Xuejun Li, Feng Liu
exaly +3 more sources
Learning Model for Phishing Website Detection [PDF]
Website portal empowered with information technology are of great importance in present scenario. With access to data allaround the world, securing our information becomes an issue of topmost priority.
A. Suryan +4 more
doaj +3 more sources
A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach [PDF]
Background Phishing attacks are now regarded as one of the most prevalent cyberattacks that often compromise the security of different communication and internet networks.
Srikanth Meda +4 more
doaj +3 more sources
Intelligent rule‐based phishing websites classification [PDF]
Phishing is described as the art of echoing a website of a creditable firm intending to grab user's private information such as usernames, passwords and social security number. Phishing websites comprise a variety of cues within its content‐parts as well as the browser‐based security indicators provided along with the website.
Rami Mustafa A Mohammad +2 more
exaly +2 more sources
A hybrid super learner ensemble for phishing detection on mobile devices [PDF]
In today’s digital age, the rapid increase in online users and massive network traffic has made ensuring security more challenging. Among the various cyber threats, phishing remains one of the most significant.
Routhu Srinivasa Rao +3 more
doaj +2 more sources

