SYNTHESIZING AI'S IMPACT ON CYBERSECURITY IN TELECOMMUNICATIONS: A CONCEPTUAL FRAMEWORK

Philip Olaseni Shoetan, Olukunle Oladipupo Amoo, Enyinaya Stefano Okafor, Oluwabukunmi Latifat Olorunfemi
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Abstract

As the telecommunications sector increasingly relies on interconnected digital infrastructure, the proliferation of cyber threats poses significant challenges to security and operational integrity. This review presents a conceptual framework for understanding and harnessing the potential of artificial intelligence (AI) in fortifying cybersecurity within the telecommunications industry.  The framework integrates the transformative capabilities of AI with the unique demands of cybersecurity in telecommunications, aiming to enhance threat detection, mitigation, and response strategies. It encompasses a multidimensional approach that encompasses both technical and organizational facets, recognizing the interconnectedness of technology, human factors, and regulatory environments. Firstly, the framework delves into the application of AI in bolstering proactive threat intelligence gathering and analysis. Through advanced algorithms and machine learning techniques, AI empowers telecom operators to identify anomalous patterns, predict potential vulnerabilities, and pre-emptively adapt defensive measures. Secondly, it explores AI-driven solutions for dynamic risk assessment and adaptive cybersecurity protocols. By leveraging real-time data analytics and automated decision-making, telecom networks can swiftly adapt to evolving threats and ensure continuous protection against intrusions or breaches. Furthermore, the framework emphasizes the role of AI in augmenting human capabilities through intelligent automation and cognitive assistance. By offloading routine tasks and providing context-aware insights, AI enables cybersecurity professionals to focus on strategic initiatives and complex threat scenarios. Lastly, the framework addresses the imperative of ethical considerations, accountability, and transparency in deploying AI for cybersecurity in telecommunications. It advocates for responsible AI governance frameworks that prioritize privacy, fairness, and bias mitigation while fostering collaboration across industry stakeholders. In summary, this conceptual framework provides a roadmap for harnessing AI's transformative potential to fortify cybersecurity resilience in telecommunications, thereby safeguarding critical infrastructure and ensuring the integrity of global communication networks. Keywords: AI, Cybersecurity, Telecommunication, Framework, Conceptual, Impact, Review.
综合人工智能对电信网络安全的影响:概念框架
随着电信行业越来越依赖于相互连接的数字基础设施,网络威胁的激增给安全和业务完整性带来了巨大挑战。本综述提出了一个概念框架,用于理解和利用人工智能(AI)在加强电信行业网络安全方面的潜力。 该框架将人工智能的变革能力与电信业网络安全的独特需求相结合,旨在加强威胁检测、缓解和响应策略。它采用多维方法,包括技术和组织两个方面,认识到技术、人为因素和监管环境之间的相互联系。首先,该框架深入探讨了人工智能在加强主动威胁情报收集和分析方面的应用。通过先进的算法和机器学习技术,人工智能使电信运营商能够识别异常模式、预测潜在漏洞并先发制人地调整防御措施。其次,它为动态风险评估和自适应网络安全协议探索了人工智能驱动的解决方案。通过利用实时数据分析和自动决策,电信网络可以迅速适应不断变化的威胁,并确保持续防护,防止入侵或漏洞。此外,该框架还强调了人工智能在通过智能自动化和认知辅助增强人类能力方面的作用。通过卸载日常任务和提供对上下文的感知,人工智能使网络安全专业人员能够专注于战略举措和复杂的威胁场景。最后,该框架论述了在电信网络安全中部署人工智能时必须考虑的道德因素、问责制和透明度。它倡导负责任的人工智能治理框架,优先考虑隐私、公平和减少偏见,同时促进行业利益相关者之间的合作。总之,这一概念框架为利用人工智能的变革潜力加强电信领域的网络安全复原力提供了路线图,从而保护关键基础设施并确保全球通信网络的完整性。关键词人工智能 网络安全 电信 框架 概念 影响 评论
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