Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
The cyber–physical infrastructure of a smart grid requires data-dependent artificial
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …
[PDF][PDF] Cybersecurity of the Banking Sector in the Context of Digitalization of the World's Economy
NV Trusova, IO Chkan, NM Kondratska… - The Banking Law …, 2023 - eprints.mdpu.org.ua
This publication is designed to provide authoritative information in regard to the subject
matter covered. It is sold with the understanding that the publisher is not engaged in …
matter covered. It is sold with the understanding that the publisher is not engaged in …
Intelligent antiphishing framework to detect phishing scam: A hybrid classification approach
SK Marimuthu… - Software: Practice …, 2022 - Wiley Online Library
In the inevitably hi‐tech universe of cybercrimes, one of the major still prevailing methods is
the usage of the malicious URLs and creating a Phishing link to obtain user credentials from …
the usage of the malicious URLs and creating a Phishing link to obtain user credentials from …
[PDF][PDF] Securing data using deep hiding selected least significant bit and adaptive swarm algorithm
The emphasis on data protection is improved in particular with respect to the transmission
protocols utilized. Different research on numerous data protection areas such as …
protocols utilized. Different research on numerous data protection areas such as …
Аналіз математичних моделей протидії банківським кібершахрайствам
ОВ Кузьменко, ГМ Яровенко, ЛО Скринька - 2022 - essuir.sumdu.edu.ua
Статтю присвячено актуальній темі аналізу математичних моделей протидії
банківським кібершахрайствам. Дана проблематика обумовлена зростанням ризиків …
банківським кібершахрайствам. Дана проблематика обумовлена зростанням ризиків …
Big data analytics in Industry 4.0 ecosystems
Big data analytics in Industry 4.0 ecosystems Skip to main content Durham Research Online
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