Results 71 to 80 of about 28,722 (249)

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

An Explainable and Carbon‐Aware Stacked Ensemble Model for Phishing and Impersonation Detection in Online Social Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
EcoSecure‐Phish is an explainable, energy‐aware ensemble framework for detecting phishing and impersonation in online social networks. By integrating optimized boosting models with feature selection and sustainability metrics, it achieves high detection accuracy while reducing latency, energy consumption, and carbon impact for scalable, real‐time ...
Romil Rawat, Priyanka Gupta, K. Sakthidasan Sankaran, Vishwas Dixit, Ankita Chourasia, Yagyanath Rimal   +5 more
wiley   +1 more source

Enhancing Phishing Detection: A Machine Learning Approach With Feature Selection and Deep Learning Models

IEEE Access
With the rise in cybercrime, phishing remains a significant concern as it targets individuals with fake websites, causing victims to disclose their private information.
Ganesh S. Nayak, Balachandra Muniyal, Manjula C. Belavagi   +2 more
doaj   +1 more source

Analyzing Social and Stylometric Features to Identify Spear phishing Emails

, 2014
Spear phishing is a complex targeted attack in which, an attacker harvests information about the victim prior to the attack. This information is then used to create sophisticated, genuine-looking attack vectors, drawing the victim to compromise ...
Dewan, Prateek, Kashyap, Anand, Kumaraguru, Ponnurangam   +2 more
core   +1 more source

Double‐Edged Sword of Social Media Algorithms: Assessing the Risks to University Cybersecurity and Student Data Privacy

Engineering Reports, Volume 8, Issue 5, May 2026.
Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley   +1 more source

People have different expectations for their own versus others' use of AI‐mediated communication tools

British Journal of Psychology, Volume 117, Issue 2, Page 548-566, May 2026.
Abstract Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches
Zoe A. Purcell, Mengchen Dong, Anne‐Marie Nussberger, Nils Köbis, Maurice Jakesch   +4 more
wiley   +1 more source

Indonesian SMEs and Cybersecurity: Developing Instrument to Test SMEs Owners’ Capability in Detecting Phishing Emails

Riset Akuntansi dan Keuangan Indonesia
In recent years, phishing attacks have gotten more complicated and harder to detect. Technology-based preventative approaches have become utterly ineffective.
Ratna Yudhiyati, Diana Rahmawati, Afrida Putritama   +2 more
doaj   +1 more source

Predicting Phishing Websites using Neural Network trained with Back-Propagation [PDF]

, 2013
Phishing is increasing dramatically with the development of modern technologies and the global worldwide computer networks. This results in the loss of customer’s confidence in e-commerce and online banking, financial damages, and identity theft ...
McCluskey, T.L., Mohammad, Rami, Thabtah, Fadi   +2 more
core  

Herding Vulnerable Cats: A Statistical Approach to Disentangle Joint Responsibility for Web Security in Shared Hosting

, 2017
Hosting providers play a key role in fighting web compromise, but their ability to prevent abuse is constrained by the security practices of their own customers.
Böhme, Rainer, Joosen, Wouter, Korczyński, Maciej, Moore, Tyler, Noroozian, Arman, Tajalizadehkhoob, Samaneh, van Eeten, Michel, van Goethem, Tom   +7 more
core   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source