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Titlebook: Internet of Things. Advances in Information and Communication Technology; 6th IFIP Internation Deepak Puthal,Saraju Mohanty,Baek-Young Choi

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書目名稱Internet of Things. Advances in Information and Communication Technology
副標題6th IFIP Internation
編輯Deepak Puthal,Saraju Mohanty,Baek-Young Choi
視頻videohttp://file.papertrans.cn/473/472531/472531.mp4
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Internet of Things. Advances in Information and Communication Technology; 6th IFIP Internation Deepak Puthal,Saraju Mohanty,Baek-Young Choi
描述This book constitutes the refereed post-conference proceedings of the 6th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2023, held in Denton, TX, USA, in November 2023..The 36 full papers and 27 short papers presented were carefully reviewed and selected from 84 submissions. The papers offer?insights into the latest innovations, challenges, and opportunities in IoT, covering a wide array of topics, including IoT architectures, security and privacy, data analytics, edge computing, and applications in various domains..
出版日期Conference proceedings 2024
關(guān)鍵詞architecture types; artificial intelligence; computer hardware; computer networks; computer systems; data
版次1
doihttps://doi.org/10.1007/978-3-031-45878-1
isbn_softcover978-3-031-45880-4
isbn_ebook978-3-031-45878-1Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2024
The information of publication is updating

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Machine Learning-Based Multi-stratum Channel Coordinator for?Resilient Internet of?Space Thingsation channel environments and then evaluate several prediction models to predict the bandwidths across a set of channels that experience the influence of radiation and interference. The experimental results show that ML-prediction technologies can be used efficiently for the determination of reliab
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A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithmtion (ACO). To address this problem, in this paper one of the collective intelligence algorithms, called the Salp Swarm Algorithm (SSA), has been expanded, improved, and applied. The performance of the proposed algorithm has been compared with that of GAs, PSO, continuous ACO, and the basic SSA. The
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Electromagnetic Fault Injection Attack on?ASCON Using ChipShouteraintext, associated data, nonce, key, etc., are stored. Through the introduction of these pulses, we successfully inject faults and demonstrate the vulnerability of ASCON to EMFI attacks. To evaluate the impact, We test with different string sizes for input plaintext, namely 250?Kb, 500?Kb, and 1?MB
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Empowering Resource-Constrained IoT Edge Devices: A Hybrid Approach for?Edge Data Analysishile minimizing computational and energy costs. Experimental evaluations demonstrate the improved performance and resource utilization of the proposed model, providing insights into its effectiveness for IoT edge applications.
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