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Phishing Attacks: A Recent Comprehensive Study and a New Anatomy

open access: yesFrontiers in Computer Science, 2021
With the significant growth of internet usage, people increasingly share their personal information online. As a result, an enormous amount of personal information and financial transactions become vulnerable to cybercriminals.
Chaminda Hewage, Imtiaz Khan
exaly   +3 more sources

A Survey of Machine Learning-Based Solutions for Phishing Website Detection

open access: yesMachine 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
Qusay H Mahmoud
exaly   +3 more sources

LegitPhish: A large-scale annotated dataset for URL-based phishing detectionMendeley Data [PDF]

open access: yesData in Brief
Phishing attacks are a major cybersecurity threat, requiring timely detection using reliable datasets. We present LegitPhish, a novel and manually verified dataset of phishing and legitimate URLs, designed to facilitate research in machine learning-based
Rachana S. Potpelwar   +2 more
doaj   +2 more sources

A review of organization-oriented phishing research [PDF]

open access: yesPeerJ Computer Science
The increased sophistication and frequency of phishing attacks that target organizations necessitate a comprehensive cyber security strategy to handle phishing attacks from several perspectives, such as the detection of phishing and testing of users ...
Kholoud Althobaiti, Nawal Alsufyani
doaj   +3 more sources

Phishing [PDF]

open access: yesDatenschutz und Datensicherheit - DuD, 2021
Abstract— Phishing is a cyber-attack that involves posing as a trustworthy source and obtaining confidential or private data. Phishers also take advantage of users' interest in a site's appearance by using web pages that appear to be authentic. Data acquired could be then used for fraudulent activities.
Joe Joseph, Jisnon Devis
openaire   +2 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

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification

open access: yesIEEE Access, 2023
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 Castano   +3 more
doaj   +1 more source

Survey on phishing detection research

open access: yes网络与信息安全学报, 2020
With the continuous development of the internet,the threat posed by phishing to people's daily lives is increasing.As a core security technology against phishing attacks,phishing detection technology can help people effectively avoid security threats ...
Xi FU, Hui LI, Xingwen ZHAO
doaj   +3 more sources

Phishing or Not Phishing? A Survey on the Detection of Phishing Websites

open access: yesIEEE Access, 2023
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. In fact, the tactics used by attackers have been evolving continuously in the years to make the attacks more convincing and effective.
Rasha Zieni   +2 more
openaire   +3 more sources

Dr. Phish: Phishing Website Detector [PDF]

open access: yesE3S Web of Conferences, 2021
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. This paper deals with methods for detecting phishing websites by analyzing various features of URLs by Machine learning techniques.
Kumar Harish   +4 more
openaire   +3 more sources

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