Elevating Cybersecurity in Defence: A Collaborative and Technologically Driven Approach

Ansar, Syed Anas; Aggarwal, Shruti; Arya, Swati; Sayeed, Mohd Asim; Soni, Nupur; Pathak, Prabhash Chandra

doi:10.1109/ic3i59117.2023.10397948

Cited by 1 publication

(3 citation statements)

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“…This evolution is characterized by the development and implementation of advanced AI protocols that significantly enhance the security posture of these institutions. Drawing insights from recent studies by Ansar et al (2023), and Kumar et al (2023), this section explores the innovative AI protocols that are setting new benchmarks in cybersecurity for the finance sector. Ansar et al (2023) discuss the imperative need for adopting avant-garde technologies like AI, machine learning (ML), blockchain, and quantum computing to bolster cybersecurity in defense sectors, which is equally applicable to the finance industry.…”

Section: Revolutionary Ai Protocols For Enhanced Securitymentioning

confidence: 99%

“…Drawing insights from recent studies by Ansar et al (2023), and Kumar et al (2023), this section explores the innovative AI protocols that are setting new benchmarks in cybersecurity for the finance sector. Ansar et al (2023) discuss the imperative need for adopting avant-garde technologies like AI, machine learning (ML), blockchain, and quantum computing to bolster cybersecurity in defense sectors, which is equally applicable to the finance industry. The use of AI to automate cybersecurity functions, such as threat detection and response, is highlighted as a key innovation.…”

Section: Revolutionary Ai Protocols For Enhanced Securitymentioning

confidence: 99%

“…In summary, the integration of AI into cybersecurity protocols offers a promising pathway to fortifying the security of financial institutions against cyber threats. The insights from Ansar et al (2023), and Kumar et al (2023) highlight the potential of AI to revolutionize cybersecurity practices, while also underscoring the importance of addressing the associated challenges. As the finance sector continues to evolve in the digital age, the role of AI in cybersecurity will undoubtedly be a critical area of focus, shaping the future of financial security in the face of increasingly sophisticated cyber threats.…”

Section: Revolutionary Ai Protocols For Enhanced Securitymentioning

confidence: 99%

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The integration of artificial intelligence in cybersecurity measures for sustainable finance platforms: An analysis

Ezekiel Onyekachukwu Udeh,

Prisca Amajuoyi,

Kudirat Bukola Adeusi

et al. 2024

Comput. sci. IT res. j.

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This study delves into the integration of Artificial Intelligence (AI) in cybersecurity measures within smart cities, aiming to uncover both the challenges and opportunities this fusion presents. With the burgeoning reliance on interconnected digital infrastructures and the vast data ecosystems within urban environments, smart cities are increasingly susceptible to sophisticated cyber threats. Through a systematic literature review and content analysis, this research identifies the unique cybersecurity vulnerabilities faced by smart cities and evaluates how AI technologies can fortify urban cybersecurity frameworks. The methodology encompasses a comprehensive review of recent scholarly articles, industry reports, and case studies to assess the role of AI in enhancing threat detection, response, and prevention mechanisms. Key findings reveal that AI-driven cybersecurity solutions significantly enhance the resilience of smart cities against cyber threats by providing advanced analytical capabilities and real-time threat intelligence. However, the study also highlights the critical need for robust ethical and privacy considerations in the deployment of AI technologies. Strategic recommendations are provided for policymakers, urban planners, and technology leaders, emphasizing the importance of integrating secure AI-enabled infrastructure and fostering public-private partnerships. The study concludes with suggestions for future research directions, focusing on the ethical implications of AI in cybersecurity and the development of scalable AI solutions for diverse urban contexts. Keywords: Artificial Intelligence, Cybersecurity, Smart Cities, Urban Resilience.

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Section: Revolutionary Ai Protocols For Enhanced Securitymentioning

confidence: 99%