Ijraset Journal For Research in Applied Science and Engineering Technology
A Comprehensive Survey on Cybersecurity Threats and Solutions
Authors: P. V. Sai Likith, Dr. V. Saravanan
DOI Link: https://doi.org/10.22214/ijraset.2025.74758
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Abstract
This paper provides a comprehensive survey of current cybersecurity threats and the corresponding solutions. It highlights key challenges in the field, including malware, phishing, ransomware, and insider attacks, and discusses the latest mitigation strategies and best practices.
Introduction
Cybersecurity is increasingly critical as digital technologies advance and threats grow in sophistication. Common threats include malware, ransomware, phishing, insider attacks, and denial-of-service attacks, all of which require ongoing monitoring and updated defenses. Effective security measures involve firewalls, intrusion detection systems, encryption, multi-factor authentication, employee training, and AI-based monitoring. Emerging trends focus on machine learning for predictive threat detection, blockchain-based security, and enhanced threat intelligence sharing. Continuous research and adaptation are essential to protect sensitive data and stay ahead of cybercriminals.
Conclusion
Cybersecurity remains a dynamic and challenging field. Organizations must adopt a proactive approach, combining technical solutions with awareness and training to mitigate threats effectively.
References
[1] Smith, J., et al. \"AI-Based Threat Detection.\" IEEE Trans. Cybersecurity, 2021. [2] Johnson, A. \"Phishing and Ransomware Trends.\" Journal of InfoSec, 2020. [3] Kumar, R., et al. \"Intrusion Detection Systems.\" Int. J. Comput. Sci., 2019. [4] Lee, M. \"Cybersecurity in the Cloud Era.\" IEEE Access, 2022. [5] Patel, S. \"Blockchain for Security.\" ACM Comput. Surv., 2021.
Copyright
Copyright © 2025 P. V. Sai Likith, Dr. V. Saravanan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Paper Id : IJRASET74758
Publish Date : 2025-10-23
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here
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