Analyzing Cybersecurity Dynamics: Unveiling Evolving Threat Patterns and Modern Attack Vectors

In this era of the internet, cyberattacks have become rather routine. Each year, the number of cybercrimes rises along with the severity of the harm they do. In today's digital environment, protecting against cyberattacks becomes crucial. However, maintaining cyber security is a very difficult work since it calls for domain knowledge about the attacks and the ability to analyze potential risks. The dynamic nature of attacks poses the biggest threat to cyber security. This paper discusses the importance of cyber security as well as the different threats that the modern digital world brings with it. The degree of assault intensity is demonstrated by the statistics and analysis conducted on cyberattacks. Machine learning methods that can be employed to identify cyberattacks are provided alongside a variety of cyber security risks. There is a discussion about the necessity of the fifth generation cybersecurity architecture.

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Publication Details

Journal
Kristu Jayanti Journal of Computational Sciences (KJCS)
Published
2025-02-21
DOI
https://doi.org/10.59176/kjcs.v4i1.2433
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing Cybersecurity Dynamics: Unveiling Evolving Threat Patterns and Modern Attack Vectors

Krishna Prasad K, Divya Gopinath
Kristu Jayanti Journal of Computational Sciences (KJCS)
Advanced Malware Detection Techniques
article

Analyzing Cybersecurity Dynamics: Unveiling Evolving Threat Patterns and Modern Attack Vectors

Krishna Prasad K, Divya Gopinath
article en

Abstract

In this era of the internet, cyberattacks have become rather routine. Each year, the number of cybercrimes rises along with the severity of the harm they do. In today's digital environment, protecting against cyberattacks becomes crucial. However, maintaining cyber security is a very difficult work since it calls for domain knowledge about the attacks and the ability to analyze potential risks. The dynamic nature of attacks poses the biggest threat to cyber security. This paper discusses the importance of cyber security as well as the different threats that the modern digital world brings with it. The degree of assault intensity is demonstrated by the statistics and analysis conducted on cyberattacks. Machine learning methods that can be employed to identify cyberattacks are provided alongside a variety of cyber security risks. There is a discussion about the necessity of the fifth generation cybersecurity architecture.

Kristu Jayanti Journal of Computational Sciences (KJCS)
Cyber University (JP), Institute of Information Science, Academia Sinica (TW)
Openalex Percentile: Top 74%
Advanced Malware Detection Techniques
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