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Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach

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Bibliographic Details
Published in:International Journal of Computer Network and Information Security
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Computer Network and Information Security
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:13047
institution FRELIP
journal_source_facet International Journal of Computer Network and Information Security
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
title Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_auth Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_full Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_fullStr Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_full_unstemmed Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_short Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
title_sort securing fog-assisted iot: an adaptable and efficient threat identification approach
topic Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
url https://www.mecs-press.org/ijcnis/ijcnis-v18-n2/v18n2-5.html