[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques

A Kulkarni, V Balachandran… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …

GramBeddings: a new neural network for URL based identification of phishing web pages through n-gram embeddings

AS Bozkir, FC Dalgic, M Aydos - Computers & Security, 2023 - Elsevier
There has been ever-growing use of Internet and progress within many communication
channels such as social media and this escalates the need for rapid and low source …

An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders

MK Prabakaran, P Meenakshi Sundaram… - IET Information …, 2023 - Wiley Online Library
Phishing attacks have become one of the powerful sources for cyber criminals to impose
various forms of security attacks in which fake website Uniform Resource Locators (URL) are …

[Retracted] Route Planning of Health Care Tourism Based on Computer Deep Learning

S Wang - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
With the continuous improvement of people's living standards, the form of tourism is
gradually changing. In the past two years, people's demand for tourism has also changed …

Identification and analysis of phishing website based on machine learning methods

MH Alkawaz, SJ Steven… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
People are increasingly sharing their details online as internet usage grows. Therefore,
fraudsters have access to a massive amount of information and financial activities. The …

Enhancing Phishing Detection: A Multi-Layer Ensemble Approach Integrating Machine Learning for Robust Cybersecurity

C Ahmadi, JL Chen - 2024 IEEE Symposium on Computers and …, 2024 - ieeexplore.ieee.org
Cybersecurity is a critical concern in our increasingly digital world, with phishing attacks
posing one of the most insidious threats to individual and organizational security. Although …

Vulnerability assessment on ethereum based smart contract applications

NAN Aidee, MGM Johar, MH Alkawaz… - … on Automatic Control …, 2021 - ieeexplore.ieee.org
A Smart Contract is an agreement in the form of computer code that is made between two
individuals. In a blockchain environment, smart contracts executed and stored in a shared …

Performance Investigation of Phishing Website Detection by Improved Deep Learning Techniques

BH Alowaimer, D Dahiya - Wireless Personal Communications, 2023 - Springer
Phishing described a kind of deception in online that includes thieving customers' sign in
details into the virtual portals. Internet users betrayed by attackers through well known …

A State-of-the-art Review on Phishing Website Detection Techniques

W Li, S Manickam, YW Chong, W Leng… - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as
a primary tool for attackers to deceive users and steal sensitive information. The rapid …