Results 61 to 70 of about 9,249 (179)

AI Revolution and Warfare: A New Paradigm Shift in Defence Procurement, Restructuring, Training, and Recruitment

Canadian Public Administration, Volume 69, Issue 2, Page 250-277, June 2026.
Abstract The war in Ukraine and Israel's successful operations have demonstrated the apparent shift in military operations, strategic defence spending, and innovations. Drawing parallels to the industrial revolution and how it slowly transferred military procurement, training, and deployment, the current study also highlights the AI revolution and the ...
Ehsan Jozaghi
wiley   +1 more source

The economy of phishing: A survey of the operations of the phishing market

First Monday, 2005
Phishing has been defined as the fraudulent acquisition of personal information by tricking an individual into believing the attacker is a trustworthy entity [1]. Phishing attacks are becoming more sophisticated and are on the rise. In order to develop effective strategies and solutions to combat the phishing problem, one needs to understand the ...
openaire   +1 more source

Capturing Adults' Familiarity With Financial Fraud: Relationships With Targeting, Engagement, and Victimization

Journal of Consumer Affairs, Volume 60, Issue 2, Summer 2026.
ABSTRACT According to the Federal Trade Commission, consumers lost $12.8 billion to fraud in 2024, with actual losses estimated to be as high as $196 billion. Research on financial fraud knowledge is scant, limiting development of effective protection tools.
Duygu Başaran Şahin, Olivia Valdes, Gary R. Mottola, Andrew M. Parker, Kelly Hyde, Sierra Smucker, Emily Hoch   +6 more
wiley   +1 more source

Datasets for phishing websites detection

Data in Brief, 2020
Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text messages, or websites.
Grega Vrbančič, Iztok Fister, Jr., Vili Podgorelec   +2 more
doaj   +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

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

Securing the Weakest Link: Exploring Affective States Exploited in Phishing Emails With Large Language Models

IEEE Access
Cyberattacks often begin with a phishing email designed to exploit human factors, widely regarded as the weakest link in cybersecurity defences. Although previous research has identified factors that make individuals susceptible to scams and fraud, it is
Faithful Chiagoziem Onwuegbuche, Rajesh Titung, Esa M. Rantanen, Anca Delia Jurcut, Cecilia O. Alm, Liliana Pasquale   +5 more
doaj   +1 more source

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection

IEEE Open Journal of the Communications Society
Advancement of the Internet has increased security risks associated with data protection and online shopping. Several techniques compromise Internet security, including hacking, SQL injection, phishing attacks, and DNS tunneling.
Shakeel Ahmad, Muhammad Zaman, Ahmad Sami Al-Shamayleh, Rahiel Ahmad, Shafi'I Muhammad Abdulhamid, Ismail Ergen, Adnan Akhunzada   +6 more
doaj   +1 more source

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails

CoRR
Phishing is one of the most prevalent and expensive types of cybercrime faced by organizations and individuals worldwide. Most prior research has focused on various technical features and traditional representations of text to characterize phishing emails.
Tarini Saka, Rachiyta Jain, Kami Vaniea, Nadin Kökciyan   +3 more
openaire   +2 more sources