Results 51 to 60 of about 1,434 (227)

Prediction and Detection of Scam Threats on Digital Platforms for Indonesian Users Using Machine Learning Models

Journal of Technology Informatics and Engineering
Scam threats on digital platforms continue to rise alongside the rapid adoption of technology in Indonesia. The unique characteristics of Indonesian digital users, such as low digital literacy and high social media usage, make them particularly ...
Budi Raharjo, Rudjiono, Yuli Fitrianto
doaj   +1 more source

The Role of Global Political Economy in Community‐Based Adaptation to Climate Change—Practitioners' Experience and Opinions

Sustainable Development, EarlyView.
ABSTRACT Community‐based adaptation scholars and practitioners acknowledge that power asymmetries pose significant barriers to project impact. Nevertheless, there is little research on the role of the global political economy as the root cause of vulnerability.
Tom Selje, Alexandra Klepp, Boris Heinz
wiley   +1 more source

Spatial analysis of Macau scam cases in Perlis / Nur Syafiqah Mahazal [PDF]

, 2023
The rise of Macau scam cases in Perlis has become a significant concern for law enforcement agencies and policymakers. To effectively combat this type of fraud and allocate resources efficiently, it is essential to gain a comprehensive understanding of ...
Mahazal, Nur Syafiqah
core  

Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud

IEEE Access
Online scams continue to escalate in scale and sophistication, ranging from deceptive phishing emails to complex financial fraud schemes. These evolving threats have surpassed the capabilities of traditional detection systems, creating an urgent demand ...
Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah   +2 more
doaj   +1 more source

Feasibility of Post‐Operative Telehealth for Pediatric Surgical Patients in Malawi—A Mixed Methods Analysis

World Journal of Surgery, EarlyView.
Pediatric operative volumes in Malawi have increased over the past decade due to an increase in the pediatric surgical workforce and improved infrastructure. Despite growth in surgical capacity, limited data exist regarding post‐operative outcomes for common surgical diseases in low‐resource settings. Post‐operative follow‐up via phone call is feasible
Madhushree Zope, Seraiah Mdala, Wiseman Phiri, Bvumi Tembo, Sella Mpata, Betty Yuggu, Bidali Nzira, Amarylis Mapurisa, Casey L. McAtee, Jed G. Nuchtern, Bip Nandi, Lily Gutnik   +11 more
wiley   +1 more source

Browsafe: Approach to Enhance Trustworthiness for Safe and Secure Web Browsing [PDF]

ITM Web of Conferences
The quick growth in internet usage has brought more users in contact with web-based attacks, including phishing and malicious browser extensions, that can break their trust and security.
L Rajesh, Surabhi K.R., Shenoy K. Anuj, Omar Mohammed, Zain Mohammed, Kabra Navdeep   +5 more
doaj   +1 more source

Semi-supervised Classification of Fraud Data in Commercial Auctions

Applied Artificial Intelligence, 2020
Given the magnitude of monetary transactions at auction sites, they are very attractive to fraudsters and scam artists. Shill bidding (SB) is a severe fraud in e-auctions, which occurs during the bidding period and is driven by modern-day technology and ...
Sulaf Elshaar, Samira Sadaoui
doaj   +1 more source

Conceptualizing and measuring consumers’ negative attitudes towards online shopping

British Journal of Management, EarlyView.
Abstract Despite the advantages of online shopping, increasing evidence indicates the prevalence of negative consumer attitudes towards online shopping (NATOS). Yet existing research exhibits a nearly exclusive focus on measuring positive attitudes, creating limited conceptual breadth. Moreover, despite the existence of conceptually related constructs (
Kaj‐Johanna Stichnoth, Gianfranco Walsh   +1 more
wiley   +1 more source

SCAM: Scan Channel Attention Mamba-Based Network for Remote Sensing Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing change detection (RSCD) aims to detect changes on the Earth’s surface over time by analyzing remote sensing imagery taken at two different time points for the same location.
Junyi Zhang, Renwen Chen, Fei Liu, Aocheng He, Boyu Zheng, Hao Liu   +5 more
doaj   +1 more source

Scamming the Scammers [PDF]

Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017
Advance fee fraud is a significant component of online criminal activity. Fraudsters can often make off with significant sums, and victims will usually find themselves plagued by follow-up scams. Previous studies of how fraudsters persuade their victims have been limited to the initial solicitation emails sent to a broad population of email users.
Matthew Edwards 0001, Claudia Peersman, Awais Rashid   +2 more
openaire   +2 more sources