Results 131 to 140 of about 1,434 (227)

Cyber hygiene and well-being among Vietnamese Gen-Z students: a perspective on awareness

Cogent Social Sciences
Cyber hygiene has emerged as a pressing public issue, affecting mental health and victimological issues, yet limited research examines how specific dimensions of cyber hygiene awareness affect youth well-being in emerging economies.
Anh Tuan Hoang, Thanh Nguyen Quoc Hoang, An Hoang Tran, Hanh Hong Nguyen, Anh Quynh Nguyen   +4 more
doaj   +1 more source

A heuristic-based approach to code-smell detection

, 2007
Encapsulation and data hiding are central tenets of the object oriented paradigm. Deciding what data and behaviour to form into a class and where to draw the line between its public and private details can make the difference between a class that is an ...
Kirk, D., Roper, M., Wood, M.
core  

Detection of special scams by emotion analysis

IEICE Communications Express, 2021
Endo, Shota, Tanida, Koji
openaire   +2 more sources

Detecting Cryptocurrency Scams in the USA: A Machine Learning-Based Analysis of Scam Patterns and Behaviors

Journal of Ecohumanism
The exponential growth of cryptocurrency implementation in the USA has brought with it a surge in correlated risks, particularly in the form of scams that exploit the relative novelty and complexity of digital currencies. The primary objective of this study was to develop machine algorithms for identifying fraud trends in cryptocurrency transactions ...
Bimol Chandra Das, Babul Sarker, Amit Saha, Kanchon Kumar Bishnu, Biswajit Chandra das, M Saif Sartaz, Muhammad Hasanuzzaman, Md Majedur Rahman, Medhat Mohiuddin Khan   +8 more
openaire   +1 more source

Interpretable Multi-Signal Scam Detection

Abstract—Scam and phishing detection systems typically rely on rigid heuristic rules or opaque large language models. This paper presents ScamShield: a hybrid, interpretable pipeline combining a 24-feature supervised machine learning model, an LLM semantic safety layer, and rule-based heuristics in a unified ensemble. Evaluated on a synthetic benchmark
openaire   +1 more source

ScamFerret: Detecting Scam Websites Autonomously with Large Language Models

Accepted for publication at DIMVA ...
Hiroki Nakano, Takashi Koide, Daiki Chiba 0001   +2 more
openaire   +2 more sources

Automated detection of cryptocurrency investment scams at scale

The ecosystem of cryptocurrencies has grown and changed significantly since Bitcoin’s inception in 2008 (Nakamoto, 2008). Similarly, the number of people using cryptocurrencies as a means of investment, speculation and form of payment has risen over the ...

core   +1 more source

The use of IT-safety and coping measures against cybercrimes among older adults in Hong Kong: an application of cyber routine activity theory. [PDF]

Front Sociol
Lam G, Lau BH, Tsang CK, Kwok AP, Shum EN.   +4 more
europepmc   +1 more source

V-CHIMERA: An Immune-Inspired Verified Framework for Organizational Cyber Crisis Response Under Misinformation. [PDF]

Biomimetics (Basel)
Alghamdi F, Alqithami S.
europepmc   +1 more source

Let's Talk aBOT Scam Online Survey Completions in Health Behavior Research: Tutorial With Case Studies, Practical Guidance, and a Checklist for Researchers. [PDF]

JMIR Public Health Surveill
Arundell L, Salmon J, Walsh A, Dullaghan K, Cheng H, Baker T, Teychenne M, Schuch F, Tornquist D, Timperio A.   +9 more
europepmc   +1 more source