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May 30, 20260 citationsOpen Access

Cybersecurity Threats and Prevention Techniques: A Comprehensive Review

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MAMs. Asifa AkhterDGDr. Shalu GuptaMKMs. Jaspreet Kaur

Key Points

  • This review aims to analyze the current cybersecurity threats and effective prevention strategies to safeguard information systems.
  • Comprehensive analysis of cybersecurity threats such as ransomware, phishing, and malware.
  • Evaluation of prevention techniques including firewalls, encryption, and intrusion detection systems.
  • Discussion of risk assessment models and layered security approaches to enhance digital protection.
  • Global cybercrime costs are projected to reach $10.5 trillion annually by 2025, highlighting the urgent need for improved defenses.
  • The review identifies key security measures that can mitigate risks effectively, emphasizing a layered defence approach.
  • Emerging threats like AI-driven attacks and supply chain vulnerabilities are identified as increasing concerns for cybersecurity.

Abstract

The rapid expansion of cloud services, digital platforms, and online communication has significantly amplified cybersecurity risks. Cyberattacks, including ransomware, phishing, malware, and unauthorized access, persistently threaten the confidentiality, integrity, and availability of data. This review paper examines prevalent cybersecurity threats impacting modern information systems and explores effective prevention techniques to mitigate these risks. Key security measures such as firewalls, encryption, intrusion detection systems (IDS), access controls, and user awareness training are analysed. Recent data indicates that global cybercrime costs are projected to reach 10. 5 trillion annually by 2025, underscoring the urgency of robust defences. The paper emphasizes the importance of a layered (defence-in-depth) security approach, incorporating risk assessment models, to protect systems and ensure secure digital operations. Emerging threats like AI-driven attacks and supply chain vulnerabilities are also discussed.

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Cite This Study

Akhter et al. (2026) studied this question.

synapsesocial.com/papers/6a1a818e0307b78509433604https://doi.org/10.5281/zenodo.19908875
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