[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) …

An augmented artificial intelligence approach for chronic diseases prediction

J Rashid, S Batool, J Kim, M Wasif Nisar… - Frontiers in Public …, 2022 - frontiersin.org
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

[PDF][PDF] Website phishing detection using machine learning techniques

R Alazaidah, A Al-Shaikh… - Journal of …, 2024 - digitalcommons.aaru.edu.jo
Phishing is a cybercrime that is constantly increasing in the recent years due to the
increased use of the Internet and its applications. It is one of the most common types of …

RETRACTED ARTICLE: Mitigating the Coexistence Technique in Wireless Body Area Networks By Using Superframe Interleaving

S Kanwal, J Rashid, J Kim, S Juneja… - IETE Journal of …, 2023 - Taylor & Francis
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Phishing Website Detection with Ensemble Learning Approach Using Artificial Neural Network and AdaBoost

A Rahmadeyan, I Ahmad, AD Alexander… - 2023 International …, 2023 - ieeexplore.ieee.org
Phishing is one of the most serious security threats. Most phishing attacks occur on online
transaction websites such as banking, commercial businesses, e-commerce, and more. This …

Intelligent phishing website detection using deep learning

A Assefa, R Katarya - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
Artificial Intelligence and Machine Learning technologies have become a crucial tool for the
identification and detection of phishing URLs from samples with a reduced inspection time …

Phishing detection using machine learning techniques

U Nishitha, R Kandimalla… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
As there are many cyber-attacks that are going on in this world phishing is one of the most
important cyberattack phishing attacks starts with fake messages which contain dangerous …

Understanding the influence of AST-JS for improving malicious webpage detection

MF Rozi, S Ozawa, T Ban, S Kim, T Takahashi… - Applied Sciences, 2022 - mdpi.com
JavaScript-based attacks injected into a webpage to perpetrate malicious activities are still
the main problem in web security. Recent works have leveraged advances in artificial …

RETRACTED ARTICLE: Graph based CNN Algorithm to Detect Spammer Activity Over Social Media

A Tandon, SK Guha, J Rashid, J Kim… - IETE Journal of …, 2023 - Taylor & Francis
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Application of Natural Language Processing for Phishing Detection Using Machine and Deep Learning Models

A Villanueva, C Atibagos, J De Guzman… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
Phishing scams are internet frauds that target people by sending them harmful links. Many
victims ranging from individuals to big companies, have suffered numerous losses due to …