Anomaly Detection in Smart Cities Architecture :Difficulties and Challenges

Authors

  • Mikin Dagli ,Dr. Harsha Padheriya,Mayank Devani ,Anirudhdha Nayak

Keywords:

Smart Cities, Anomaly Detection[19], Machine Learning, Cybersecurity. Data Integrity, Intrusion Detection Systems (IDS), Internet of Things (IoT).

Abstract

Anomaly detection plays a critical role in ensuring the safety, efficiency, and resilience ofsmart city infrastructures. As urban environments increasingly integrate technologies such asthe Internet of Things (IoT), cloud computing, and artificial intelligence (AI), massive

References

Garcia-Font, V., Garrigues, C., & Rifà-Pous, H. (2018). Difficulties and Challenges of Anomaly Detection in Smart Cities: A Laboratory Analysis. Sensors, 18(10), 3198. https://doi.org/10.3390/s18103198

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Published

2023-09-15

How to Cite

Mikin Dagli ,Dr. Harsha Padheriya,Mayank Devani ,Anirudhdha Nayak. (2023). Anomaly Detection in Smart Cities Architecture :Difficulties and Challenges . Journal of Computational Analysis and Applications (JoCAAA), 31(3), 632–644. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3400

Issue

Vol. 31 No. 3 (2023): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.