Integrating large language models with internet of things: applications
Abstract This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection, macroprogramming over IoT systems, and sensor data process...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
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| Series: | Discover Internet of Things |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43926-024-00083-4 |
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| _version_ | 1841544337103519744 |
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| author | Mingyu Zong Arvin Hekmati Michael Guastalla Yiyi Li Bhaskar Krishnamachari |
| author_facet | Mingyu Zong Arvin Hekmati Michael Guastalla Yiyi Li Bhaskar Krishnamachari |
| author_sort | Mingyu Zong |
| collection | DOAJ |
| description | Abstract This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection, macroprogramming over IoT systems, and sensor data processing. Our results reveal that the GPT model under few-shot learning achieves 87.6% detection accuracy, whereas the fine-tuned GPT increases the value to 94.9%. Given a macroprogramming framework, the GPT model is capable of writing scripts using high-level functions from the framework to handle possible incidents. Moreover, the GPT model shows efficacy in processing a vast amount of sensor data by offering fast and high-quality responses, which comprise expected results and summarized insights. Overall, the model demonstrates its potential to power a natural language interface. We hope that researchers will find these case studies inspiring to develop further. |
| format | Article |
| id | doaj-art-1911aceb0ac248d2aeca34c683d185af |
| institution | Kabale University |
| issn | 2730-7239 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Internet of Things |
| spelling | doaj-art-1911aceb0ac248d2aeca34c683d185af2025-01-12T12:36:00ZengSpringerDiscover Internet of Things2730-72392025-01-015111510.1007/s43926-024-00083-4Integrating large language models with internet of things: applicationsMingyu Zong0Arvin Hekmati1Michael Guastalla2Yiyi Li3Bhaskar Krishnamachari4Viterbi School of Engineering, University of Southern CaliforniaViterbi School of Engineering, University of Southern CaliforniaViterbi School of Engineering, University of Southern CaliforniaViterbi School of Engineering, University of Southern CaliforniaViterbi School of Engineering, University of Southern CaliforniaAbstract This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection, macroprogramming over IoT systems, and sensor data processing. Our results reveal that the GPT model under few-shot learning achieves 87.6% detection accuracy, whereas the fine-tuned GPT increases the value to 94.9%. Given a macroprogramming framework, the GPT model is capable of writing scripts using high-level functions from the framework to handle possible incidents. Moreover, the GPT model shows efficacy in processing a vast amount of sensor data by offering fast and high-quality responses, which comprise expected results and summarized insights. Overall, the model demonstrates its potential to power a natural language interface. We hope that researchers will find these case studies inspiring to develop further.https://doi.org/10.1007/s43926-024-00083-4IoTLLMCybersecurityMacroprogrammingSensor data processing |
| spellingShingle | Mingyu Zong Arvin Hekmati Michael Guastalla Yiyi Li Bhaskar Krishnamachari Integrating large language models with internet of things: applications Discover Internet of Things IoT LLM Cybersecurity Macroprogramming Sensor data processing |
| title | Integrating large language models with internet of things: applications |
| title_full | Integrating large language models with internet of things: applications |
| title_fullStr | Integrating large language models with internet of things: applications |
| title_full_unstemmed | Integrating large language models with internet of things: applications |
| title_short | Integrating large language models with internet of things: applications |
| title_sort | integrating large language models with internet of things applications |
| topic | IoT LLM Cybersecurity Macroprogramming Sensor data processing |
| url | https://doi.org/10.1007/s43926-024-00083-4 |
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