{"id":364,"date":"2025-08-19T09:59:47","date_gmt":"2025-08-19T09:59:47","guid":{"rendered":"https:\/\/csnet-conference.org\/2025\/?page_id=364"},"modified":"2025-09-01T19:00:56","modified_gmt":"2025-09-01T19:00:56","slug":"genaiciot","status":"publish","type":"page","link":"https:\/\/csnet-conference.org\/2025\/genaiciot\/","title":{"rendered":"GenAICIoT"},"content":{"rendered":"\n

1st Workshop on Generative Artificial Intelligence and Cybersecurity on the Internet of Things<\/mark><\/strong> (GenAICIoT 2025)<\/strong><\/mark><\/h2>\n\n\n\n

CFP – PDF<\/a><\/strong><\/p>\n\n\n\n

The 1st Workshop on Generative Artificial Intelligence and Cybersecurity on the Internet of Things is an affiliated event with the 9th CSNet 2025. It will be held at Zayed University. Abu Dhabi Campus. PO Box 144534. Abu Dhabi, United Arab Emirates.<\/p>\n\n\n\n

Aim and Scope<\/mark><\/strong><\/h3>\n\n\n\n

The workshop seeks innovative solutions and breakthrough ideas that can shape the future landscape of the Internet of Things. It also welcomes novel challenges, industrial and standard aspects of key technologies for Generative Artificial Intelligence and Cybersecurity solutions on the Internet of Things. Its objective is to provide a discussion forum for researchers from industry, academia, national laboratories, and government involved in the area.<\/p>\n\n\n\n


Topics<\/mark><\/strong><\/h3>\n\n\n\n

Topics of interest include, but are not limited to the following:<\/p>\n\n\n\n

\u2756 Artificial Intelligence for Side Channel Attacks
\u2756 Blockchain Technology for Securing IoT Devices
\u2756 Critical IoT for Industrial Applications
\u2756 Deployment of Large Language Models (LLMs) on IoT
\u2756 Deep Learning for IoT
\u2756 Digital twins and IoT Secure Applications
\u2756 Generative AI for Cryptographic Solutions
\u2756 Generative AI in Healthcare: IoT Applications and Security Challenges
\u2756 IoT-Driven Innovations in Power Electronics and Energy Systems
\u2756 IoT Analytics and Big Data Processing
\u2756 IoT for Environmental Monitoring and Sustainability
\u2756 Natural Language Processing for IoT
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Submissions<\/mark><\/strong><\/p>\n\n\n\n

Authors are invited to submit an original blind paper written in English with a maximum of eight (8) printed pages for full papers, and with a minimum of five (5) printed pages for short papers. Both types must follow the Two-Column IEEE Conference Format. <\/p>\n\n\n\n

Papers should be submitted in a PDF Format via EDAS at: https:\/\/edas.info\/N34333<\/a>

All accepted and presented papers will be submitted for publication to IEEE Xplore subject to meeting its quality and requirements.<\/p>\n\n\n\n

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Important dates<\/mark><\/strong><\/h3>\n\n\n\n