Results 51 to 60 of about 24,848 (216)
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Protect Against Phishing Scams
, 2022 : Phishing is an act of luring unsuspecting recipient of a message into revealing information which can be used against the recipient. Email is the most common medium of creating a Phishing attack against individuals and organizations. Phishing is a type
Qasim T. Zaidi +3 more
core +1 more source
Journal of Forensic Sciences, EarlyView.Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko +3 more
wiley +1 more source
A Method for Domain Detection and Web Page Analysis Targeting Web3 Phishing Websites [PDF]
Jisuanji gongchengAs the paradigm of ″decentralized next-generation Internet,″ Web3, relying on blockchain technology, has become an emerging field with great potential in the digital intelligence service ecosystem. However, Web3 phishing websites pose a serious threat to
LIU Ronglong, LI Ziwei, WAN Yue, WU Jiajing, JIANG Zigui
doaj +1 more source
Phishing Attacks Survey: Types, Vectors, and Technical Approaches
Future Internet, 2020 Phishing attacks, which have existed for several decades and continue to be a major problem today, constitute a severe threat in the cyber world. Attackers are adopting multiple new and creative methods through which to conduct phishing attacks, which ...
Rana Alabdan
doaj +1 more source
Understanding Digital Financial Literacy Among Older Adults in Sweden
Accounting &Finance, EarlyView.ABSTRACT This study examined digital financial literacy (DFL) among older adults in Sweden, with the aim of refining its conceptualisation for highly digitised welfare states. Sixteen semi‐structured interviews with individuals aged 65–93 across two municipalities were analysed inductively. While online banking and Swish were nearly universal, adoption
Fredrik Lundell, A. F. M. Jalal Ahamed
wiley +1 more source
Advancing AI, Virtue Enhancement, and the Need for Niebuhrian Virtues of Moral Vigilance
Journal of Religious Ethics, EarlyView.ABSTRACT This paper considers the possibility of AI being employed to improve moral character from the perspective of an account of virtues that is psychologically realistic (the HEIS model). It is informed by a Christian agapeic ethic oriented toward goods of creaturely well‐being that ground right action.
Gregory R. Peterson
wiley +1 more source
IEEE Access, 2020 Over the last few years, web phishing attacks have been constantly evolving causing customers to lose trust in e-commerce and online services. Various tools and systems based on a blacklist of phishing websites are applied to detect the phishing websites.
Waleed Ali, Sharaf Malebary
doaj +1 more source
“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India
Regulation &Governance, EarlyView.ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe +2 more
wiley +1 more source
Personalized Model‐Driven Interventions for Decisions From Experience
Topics in Cognitive Science, EarlyView.Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford +6 more
wiley +1 more source