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Phishing Detection

YMER Digital, 2022
The phishing email is one of the significant threats in the world today and has caused tremendous financial losses. Phishing is a type of social engineering attack often used to steal user data, including login credentials and credit card numbers.
Gokul R, Felix M Philip
openaire   +1 more source

Phish Detect-Real Time Phish Detecting Browser Extension

Journal of Computational and Theoretical Nanoscience, 2020
Now a days, hacking has become a trend, where the personal information or user data including login credentials, credit card numbers, such as transaction from our bank accounts, key information from government office, defense etc., which threatens the privacy and property security of netizens in wireless communication. This is being done by creating a
Shiva Nandhini, K. Riya, P. Divya, Sahil Khatri, V. Devi Subadra   +4 more
openaire   +1 more source

Visual-similarity-based phishing detection

Proceedings of the 4th international conference on Security and privacy in communication netowrks, 2008
Phishing is a form of online fraud that aims to steal a user's sensitive information, such as online banking passwords or credit card numbers. The victim is tricked into entering such information on a web page that is crafted by the attacker so that it mimics a legitimate page.
MEDVET, Eric, ENGIN KIRDA, CHRISTOPHER KRUEGEL   +2 more
openaire   +2 more sources

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability

arXiv.org
Sophisticated phishing attacks have emerged as a major cybersecurity threat, becoming more common and difficult to prevent. Though machine learning techniques have shown promise in detecting phishing attacks, they function mainly as"black boxes"without ...
Bryan Lim, Roman Huerta, Alejandro Sotelo, Anthonie Quintela, Priyanka Kumar   +4 more
semanticscholar   +1 more source

Optimising Phishing Detection: A Comparative Analysis of Machine Learning Methods with Feature Selection

Journal of Informatics and Web Engineering
Phishing is an act of cybersecurity attack that tricks people into sharing sensitive data. Due to the inefficiency of the current security technologies, researchers have been paying much attention to employing machine learning methods for phishing ...
Mohamad Asraf Daniel, Siew-Chin Chong, Lee-Ying Chong, Kuok-Kwee Wee   +3 more
semanticscholar   +1 more source

Automatic Detection of Phishing Target from Phishing Webpage

2010 20th International Conference on Pattern Recognition, 2010
An approach to identification of the phishing target of a given (suspicious) webpage is proposed by clustering the webpage set consisting of its all associated webpages and the given webpage itself. We first find its associated webpages, and then explore their relationships to the given webpage as their features for clustering.
Gang Liu, Bite Qiu, Liu Wenyin
openaire   +1 more source

Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms

IEEE Transactions on Services Computing, 2023
Supervised machine learning is often used to detect phishing websites. However, the scarcity of phishing data for training purposes limits the classifier's performance.
H. Shirazi, Shashika Ranga Muramudalige, I. Ray, A. Jayasumana, Haonan Wang   +4 more
semanticscholar   +1 more source

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

USENIX Security Symposium
Phishing attacks have inflicted substantial losses on individuals and businesses alike, necessitating the development of robust and efficient automated phishing detection approaches.
Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, Hoon Wei Lim   +7 more
semanticscholar   +1 more source

Review: Phishing Detection Approaches

2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), 2019
Phishing is one of the most common attacks on the internet that employs social engineering techniques like deceiving user with forged websites in an attempt to gain sensitive information such as credentials and credit card details. This information can be misused, resulting in large financial losses to these users.
AlMaha Abu Zuraiq, Mouhammd Alkasassbeh
openaire   +1 more source

Hide and Seek: An Adversarial Hiding Approach Against Phishing Detection on Ethereum

IEEE Transactions on Computational Social Systems, 2023
With the wide application and development of blockchain technology, the past years have witnessed the emergence of various cybercrimes, which have caused a huge amount of economic loss.
Haixian Wen, Junyuan Fang, Jiajing Wu, Zibin Zheng   +3 more
semanticscholar   +1 more source