Applying Deep Learning to Address Privacy Regulations and Compliance in security Frameworks

Authors

  • Suneel KumarMogali

Keywords:

Deep Learning, Privacy Regulations, Compliance, Cybersecurity Frameworks

Abstract

A massive amount of data is being produced as a result of the developments in wireless communication technologies that have taken place recently. The vast majority of our data is interconnected with devices all around the world in a vast network. Electronic gadgets are becoming more capable with each passing day, which in turn increases the amount of data generated and shared. Similarly, security breaches have become more common as mobile network topologies have gotten more complex and diversified.

References

State of IoT 2022: Number of Connected IoT Devices Growing 18% to 14.4 Billion Globally. [(accessed on 14 November 2022)]. Available online: https://iot-analytics.com/numberconnected-iot-devices/

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Published

2022-10-20

How to Cite

Suneel KumarMogali. (2022). Applying Deep Learning to Address Privacy Regulations and Compliance in security Frameworks. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 460–477. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1979

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