MADP-IIME: malware attack detection protocol in IoT-enabled industrial multimedia environment using machine learning approach

Internet of Things (IoT) is one of the fastest-growing technologies. With the deployment of massive and faster mobile networks, almost every daily-use item is connected to the Internet. IoT-enabled industrial multimedia environment is used for the collection and analysis of different types of multim...

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Vydané v:	Multimedia systems Ročník 29; číslo 3; s. 1785 - 1797
Hlavní autori:	Pundir, Sumit, Obaidat, Mohammad S., Wazid, Mohammad, Das, Ashok Kumar, Singh, Devesh Pratap, Rodrigues, Joel J. P. C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Predmet:	Artificial neural networks Big Data Communication Computer Communication Networks Computer Graphics Computer Science Cryptology Cybersecurity Data Storage Representation Electronic devices Industrial plants Internet of Things Machine learning Malware Multimedia Multimedia Information Systems Operating Systems Role of Deep Learning Models & Analytics in Industrial Multimedia Environment Smart devices Smart houses Special Issue Paper Surveillance systems Internet of Things (IoT) Simulation Security Malware detection Machine learning Industrial multimedia environment
ISSN:	0942-4962, 1432-1882
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