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The Study Analyzes the Evolution of Social Networking Globally and Nationally, Employing the Kolmogorov-Smirnov Test and Chi-Square Test to Assess Various Online Platforms

Authors: Harpreet Kaur; Krishan Kumar;

The Study Analyzes the Evolution of Social Networking Globally and Nationally, Employing the Kolmogorov-Smirnov Test and Chi-Square Test to Assess Various Online Platforms

Abstract

The Internet has grown in importance and impact over the years, causing people to become more reliant on it. As its user base continues to grow, the Internet poses more and more risks to computer systems' security. Over the last decade, the number of these computing systems including desktops, laptops, smartphones, and the Internet of Things has skyrocketed. One example is the pervasiveness of mobile phones in modern life. The popularity of web-based assaults has skyrocketed with the exponential the expansion of online user populations. Now, security companies are attempting to combat these online assaults. Unfortunately, new forms of these assaults are appearing all the time, making it hard for older security measures to stay up. In computing, AI refers to a source of optimism in the current cybersecurity landscape, offering a potential solution to the ever-changing digital dangers. The fact that artificial intelligence has grown exponentially over the last decade and is now impacting the development of every other industry is the source of this optimism. With AI bringing so many advantages in every field, online security is one sector that just cannot afford to ignore it. The research presented in this thesis represents an advance in that path. This thesis details an effort to use AI to address serious issues with online security.

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Keywords

Social Networking, web-based, industry, websites, revolutionized

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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!
0
Average
Average
Average
Green