Results 71 to 80 of about 1,135 (168)

Antecedents of bullying victimisation in adolescents: a fresh look at Aotearoa New Zealand

Kōtuitui: New Zealand Journal of Social Sciences Online, Volume 20, Issue 4, Page 528-541, December 2025.
ABSTRACT Research has consistently demonstrated that the prevalence of school bullying in Aotearoa New Zealand exceeds those observed in other developed countries. Despite the need to understand the risk and protective factors for bullying victimisation, there remains a paucity of research in the New Zealand context.
Michael Birchall, Aaron Drummond, Matthew N. Williams   +2 more
wiley   +1 more source

Design of Efficient Phishing Detection Model using Machine Learning

Tehnički Glasnik
Recently, there have been cases of phishing attempts to steal personal information through fake sites disguised as major sites. Although phishing attacks continue and increase, countermeasures remain in the form of defense after identifying the attack ...
Bong-Hyun Kim
doaj   +1 more source

Analysis of Gradient Boosting Algorithms with Optuna Optimization and SHAP Interpretation for Phishing Website Detection

Journal of Applied Informatics and Computing
Phishing remains a persistent cybersecurity threat, evolving rapidly to bypass traditional blacklist-based detection systems. Machine Learning (ML) approaches offer a promising solution, yet finding the optimal balance between detection accuracy and ...
Rahmat Fauzi Abu Bakar, Majid Rahardi
doaj   +1 more source

PHISHSIM: Phishing Website Detection

International Research Journal on Advanced Engineering and Management (IRJAEM)
In this paper, we introduce a powerful new approach for detecting phishing websites that is entirely feature-free. Our method, called PhishSim, uses the Normalized Compression Distance (NCD), a technique that requires no specialized parameters. NCD works by measuring the similarity of two websites through compression, eliminating the time and effort ...
null Nivyashree R, null Bhoomika S R, null Chiranth H M, null Bhavan N Gowda, null Chakram Janya H U   +4 more
openaire   +1 more source

A Study on Adversarial Sample Resistance and Defense Mechanism for Multimodal Learning-Based Phishing Website Detection

IEEE Access
Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity, particularly in detecting phishing websites. Traditional methods struggle to address evolving vulnerabilities, but research shows that Machine Learning (ML ...
Phan The Duy, Vo Quang Minh, Bui Tan Hai Dang, Ngo Duc Hoang Son, Nguyen Huu Quyen, Van-Hau Pham   +5 more
doaj   +1 more source

A Lightweight Anti-Phishing Technique for Mobile Phone

Acta Informatica Pragensia, 2017
Mobile phones have become an essential device for accessing the web. This is due to the advantages of portability, lower cost and ease. However, the adoption of mobile phones for online activities is now being challenged by myriads of cybercrimes. One of
Abdul Abiodun Orunsolu, Misturah Adunni Alaran, Adeleke Amos Adebayo, Sakiru Oluyemi Kareem, Ayobami Oke   +4 more
doaj   +1 more source

A Sophisticated Framework for the Accurate Detection of Phishing Websites

CoRR
Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy. Attackers are constantly devising new methods of launching such assaults and detecting them has become a daunting task.
Asif Newaz, Farhan Shahriyar Haq, Nadim Ahmed   +2 more
openaire   +2 more sources

Detecting Phishing Website with Machine Learning

International Journal of Recent Technology and Engineering (IJRTE), 2019
Attacks are many types to disturb the network or any other websites. Phishing attacks (PA) are a type of attacks which attack the website and damage the website and may lose the data. Many types of research have been done to prevent the attacks. To overcome this, in this paper, the integrated phishing attack detection system which is adopted with SVM ...
Smt.V. Priya Darshini*, P. Srilatha, P. Neelima   +2 more
openaire   +1 more source

Reality Winners

Critical Quarterly, Volume 67, Issue 4, Page 153-195, December 2025.
Lee Grieveson
wiley   +1 more source

Intelligent phishing website detection: A CNN-SVM approach with nature-inspired hyperparameter tuning

Cyber Security and Applications
Phishing attacks represent a growing threat to online users and software developers, necessitating the development of advanced detection strategies. This study proposes a hybrid framework that integrates convolutional neural networks (CNN) for feature ...
Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain   +2 more
doaj   +1 more source