Results 31 to 40 of about 1,434 (227)
Online Recruitment Fraud Detection: A Study on Contextual Features in Australian Job Industries
IEEE Access, 2022 The purpose of this study is to investigate the effects of contextual features on automatic detection accuracy of online recruitment frauds in Australian job market.
Syed Mahbub +2 more
doaj +1 more source
Towards Understanding and Characterizing the Arbitrage Bot Scam In the Wild
, 2023 This paper presents the first comprehensive analysis of an emerging cryptocurrency scam named "arbitrage bot" disseminated on online social networks. The scam revolves around Decentralized Exchanges (DEX) arbitrage and aims to lure victims into executing
Li, Kai, Lee, Darren, Guan, Shixuan
core +1 more source
The application of scam compliance models to investment fraud offending
, 2022 Purpose The purpose of this paper is to undertake an exploratory study on mapping the investment fraud methods and tactics used by scammers against the emerging literature on scam compliance.
Goode, Sigi, Pawada, J., Lacey, Dr David
core +2 more sources
An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM
IEEE Access, 2023 In recent years, the number of fake shopping sites that scam people out of their money or steal their personal information has skyrocketed. To address this problem, Japanese law enforcement agencies such as the police have been detecting fake shopping ...
Keisuke Sakai +5 more
doaj +1 more source
iCaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video Detection
Future Internet, 2021 Fake media is spreading like wildfire all over the internet as a result of the great advancement in deepfake creation tools and the huge interest researchers and corporations are showing to explore its limits.
Samar Samir Khalil +2 more
doaj +1 more source
Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
IEEE Access, 2022 When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to create a striking headline that attracts the majority of users and attaches a link.
Abdul Razaque +7 more
doaj +1 more source
Ensemble Modeling on Job Scam Detection
Journal of Physics: Conference Series, 2021 Abstract The new advancement of online enrollment and occupation enlistment systems has made another media for web fraudsters. The improvement of the update of ongoing innovation has restricted a few organizations to move into electronic board structures. The benefits of such electronic edges are liberal.
R Asmitha Shree +3 more
openaire +1 more source
Classifying Scam Calls Through Content Analysis With Dynamic Sparsity Top-
IEEE AccessThe rise of scam calls in recent years necessitated effective countermeasures against these fraudulent activities, which cause financial losses and threaten personal security.
Brendan Hong Jun Zhi +3 more
doaj +1 more source
IEEE Access, 2023 Phishing is a type of online scam where the attacker tries to trick you into giving away your personal information, such as passwords or credit card details, by posing as a trustworthy entity like a bank, email provider, or social media site.
Lakshmana Rao Kalabarige +3 more
doaj +1 more source
Advanced Science, EarlyView.ABSTRACT Lung adenocarcinoma (LUAD) remains a leading cause of cancer mortality with limited therapeutic options. Disulfidptosis, a novel cell death modality driven by disulfide stress, represents a promising target, yet its regulation in LUAD is poorly defined. Here, we identify Pannexin 2 (PANX2) as a tumor suppressor in LUAD.
Yi Chen +7 more
wiley +1 more source