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    Transparent Peer Review By Scholar9

    The Role of Artificial Intelligence in Cyber Security

    Abstract

    Cybersecurity has become a significant concern in the digital era. Data breaches, identity theft, cracking captchas, and other such incidents have affected millions of individuals and organizations. The challenges are manifold, involving the creation and implementation of effective controls and procedures to combat cyberattacks and crimes. The risk of such attacks has exponentially increased with recent advancements in artificial intelligence (AI), which has been applied across various scientific and engineering fields. From healthcare to robotics, AI has revolutionized multiple domains. Unfortunately, this technological progress has not been ignored by cybercriminals, resulting in the emergence of "intelligent" cyberattacks. In this chapter, the authors discuss promising AI techniques and their applications in cybersecurity, concluding with a discussion on the future scope of AI in this area.

    Reviewer Photo

    Sivaprasad Nadukuru Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Sivaprasad Nadukuru Reviewer

    08 Oct 2024 05:30 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The chapter addresses a pressing issue in today's digital landscape: the increasing threat of cyberattacks and the role of artificial intelligence (AI) in cybersecurity. Given the prevalence of data breaches and identity theft, the exploration of AI techniques tailored to enhance security measures is highly relevant. The originality of the chapter lies in its focus on the dual-edged nature of AI—its potential to both improve security and be exploited by cybercriminals. By discussing these complexities, the authors contribute valuable insights into the evolving field of cybersecurity.


    Methodology

    The methodology appears to be based on a thorough literature review, examining various AI techniques and their applications in the context of cybersecurity. This approach allows for a broad understanding of current trends and innovations. However, the chapter would benefit from a more detailed description of how the literature was selected and analyzed. Incorporating case studies or empirical data demonstrating the effectiveness of specific AI applications in real-world cybersecurity scenarios would enhance the methodology and provide practical insights into their implementation.


    Validity & Reliability

    The validity of the chapter's claims is supported by references to established research and recent developments in AI and cybersecurity. However, to strengthen the reliability of the findings, the authors should address potential biases in the sources cited and consider the representativeness of the studies reviewed. Acknowledging limitations in current AI applications or discussing failures in cybersecurity measures would provide a more balanced perspective and improve the overall reliability of the conclusions.


    Clarity and Structure

    The chapter is well-structured, guiding readers through the introduction of the cybersecurity landscape, the exploration of AI techniques, and their implications for future security measures. While the logical flow aids comprehension, some technical concepts may require further clarification. Simplifying jargon and providing clear definitions would improve accessibility for a broader audience. Additionally, ensuring smooth transitions between sections would enhance the overall coherence of the chapter.


    Result Analysis

    The analysis effectively highlights the potential benefits of AI in combating sophisticated cyber threats while also addressing the challenges posed by "intelligent" cyberattacks. The discussion on future scope adds depth to the analysis, indicating the ongoing evolution of AI in cybersecurity. However, the analysis could be enriched by including specific examples of AI techniques that have been successfully implemented, along with measurable outcomes such as reduced incident rates or improved threat detection capabilities. Addressing ongoing challenges, such as ethical considerations and the need for robust privacy protections, would also provide a more comprehensive understanding of the future landscape of AI in cybersecurity.

    Publisher Logo

    IJ Publication Publisher

    Thank You Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Sivaprasad

    Sivaprasad Nadukuru

    More Detail

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    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT External Link

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    p-ISSN

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    e-ISSN

    2456-4184

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