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Analyzing and Categorizing Emerging Cybersecurity Regulations

Authors: Angelica Marotta; Stuart E. Madnick;

Analyzing and Categorizing Emerging Cybersecurity Regulations

Abstract

As cyber-attacks become more frequent, sophisticated, and impactful, governments worldwide are responding by introducing or proposing new cybersecurity regulations. This article examines over 170 recent regulations and trends in cybersecurity across various regions, including the United States, Europe, and beyond. It identifies 17 key features in many of these regulations, which we have grouped into 5 categories, analyzes observed patterns, and proposes areas for improvement. This article's primary objective is to significantly contribute to the cybersecurity compliance domain by helping researchers understand the structure of these regulations and helping organizations to assess and mitigate their cyber risk within an increasingly complex and regulated cybersecurity environment. Our findings provide valuable direction to those trying to navigate the flood of new cybersecurity regulations and the governments enacting new cybersecurity regulations.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
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