TOWARDS IMPROVED THREAT MITIGATION IN DIGITAL ENVIRONMENTS: A COMPREHENSIVE FRAMEWORK FOR CYBERSECURITY ENHANCEMENT

Hewa Balisane, E. Egho-Promise, Emmanuel Lyada, Folayo Aina
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Abstract

In today's digital landscape, cybersecurity has become a critical concern due to the increasing sophistication of cyber threats. Traditional cybersecurity measures are often inadequate against evolving attacks, necessitating the development of comprehensive and adaptive threat mitigation frameworks. This study aims to address this gap by proposing a robust cybersecurity framework that integrates advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain to enhance threat detection, response, and recovery capabilities. The framework adopts a layered defense mechanism, real-time monitoring, and proactive threat hunting to provide a holistic approach to cybersecurity. By examining current methodologies and identifying their limitations, this research highlights the necessity for enhanced threat mitigation strategies. Through a mixed-methods approach involving online surveys and literature review, the study develops a flexible, scalable, and adaptive framework capable of countering sophisticated cyber threats. Key recommendations include adopting advanced technologies, continuous training, enhancing threat intelligence sharing, implementing a layered defense strategy, and conducting regular security audits. This comprehensive framework aims to improve organizational resilience, ensuring the safety and integrity of digital environments in the face of an ever-evolving cyber threat landscape.
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努力改善数字环境中的威胁缓解工作:加强网络安全的综合框架
在当今的数字化环境中,由于网络威胁日益复杂,网络安全已成为一个重要问题。传统的网络安全措施往往不足以应对不断演变的攻击,因此有必要开发全面、适应性强的威胁缓解框架。本研究旨在通过提出一个强大的网络安全框架来弥补这一不足,该框架整合了人工智能(AI)、机器学习(ML)和区块链等先进技术,以增强威胁检测、响应和恢复能力。该框架采用分层防御机制、实时监控和主动威胁捕猎,为网络安全提供了一种整体方法。通过研究当前的方法并确定其局限性,本研究强调了加强威胁缓解战略的必要性。通过在线调查和文献综述等混合方法,本研究制定了一个灵活、可扩展、适应性强的框架,能够应对复杂的网络威胁。主要建议包括采用先进技术、持续培训、加强威胁情报共享、实施分层防御战略以及定期进行安全审计。这一综合框架旨在提高组织的应变能力,在面对不断变化的网络威胁时确保数字环境的安全性和完整性。
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