International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Explore the Role of AI/ML in Detecting and Mitigating Unusual Patterns in IoT Device Data Streams for Enhanced Security
Author(s) | Balaji Singaram |
---|---|
Country | United States |
Abstract | IoT has indeed acted as an enabler for advanced levels of automation and informed decision-making, driven by data. Still, it is also changing industries in nook and corner of the world through rapid proliferation, which in itself has other serious security challenges to allow detection and mitigation of peculiar patterns in IoT data streams indicative of malicious activities or anomalies in operation. Applications that work on improving IoT security through the support that AI and ML offer would involve real-time analytics and inference onto streams of data for various anomaly detection |
Keywords | IoT, security,analytics |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-12-17 |
Cite This | Explore the Role of AI/ML in Detecting and Mitigating Unusual Patterns in IoT Device Data Streams for Enhanced Security - Balaji Singaram - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.33231 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.33231 |
Short DOI | https://doi.org/g8wkhr |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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