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    Transparent Peer Review By Scholar9

    AI FOR CYBERSECURITY AND THREAT DETECTION

    Abstract

    The need for effective cybersecurity collaboration has been highlighted by the quick evolution of cyber threats and the growing interconnection of digital systems. This study examines how information sharing and cyber threat intelligence might improve teamwork in cyberspace security. The study highlights the advantages and difficulties of information sharing among businesses and stakeholders by looking at several concepts, frameworks, and procedures for gathering, assessing, and disseminating cyber threat intelligence. The article analyzes critical elements that contribute to successful initiatives for sharing cyber threat intelligence through a review of case studies and best practices. It also provides suggestions for enhancing cooperation in the cybersecurity field. This research contributes to a greater understanding of the significance of cyber threat intelligence and information sharing in promoting a more resilient and secure digital environment by addressing the existing gaps and problems in the literature.

    Reviewer Photo

    Archit Joshi Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Archit Joshi Reviewer

    04 Oct 2024 02:11 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The article addresses a crucial and timely topic in the realm of cybersecurity—effective collaboration through information sharing and cyber threat intelligence. Given the increasing complexity of cyber threats, this focus is highly relevant. The originality of the research is evident in its examination of specific frameworks and procedures, as well as the analysis of case studies that illustrate successful initiatives. To enhance originality, the authors could consider incorporating novel methodologies or innovative frameworks that have not been extensively discussed in existing literature.


    Methodology

    The methodology section is somewhat implied but lacks explicit details about how the study was conducted. Clarifying the criteria for selecting the case studies and frameworks analyzed would strengthen the methodological rigor. Additionally, outlining the data collection processes, such as interviews, surveys, or literature reviews, would provide transparency and allow readers to assess the validity of the findings. A detailed description of the analytical approach used to evaluate the effectiveness of information sharing initiatives would also be beneficial.


    Validity & Reliability

    The paper discusses the advantages and challenges of information sharing but could benefit from a more thorough examination of the validity and reliability of its findings. Including empirical data or statistics related to the effectiveness of various information sharing initiatives would lend credibility to the claims made. Furthermore, addressing potential biases in the selection of case studies or the interpretation of results would enhance the reliability of the research.


    Clarity and Structure

    The article is generally clear in its presentation of ideas, but the structure could be improved for better flow. Organizing the content into well-defined sections with clear headings—such as "Introduction," "Information Sharing Frameworks," "Case Studies," and "Recommendations"—would enhance readability. This structured approach would help guide the reader through the various components of the study and make it easier to digest the information presented.


    Result Analysis

    The result analysis section effectively highlights the importance of cyber threat intelligence and information sharing but could be more comprehensive. Providing specific examples from the case studies that demonstrate successful collaboration would strengthen the analysis. Additionally, discussing the implications of these findings for different stakeholders in cybersecurity—such as businesses, government agencies, and individual users—would provide a broader context for the research. Recommendations for future research directions or policy changes based on the findings would further enhance the conclusion and offer valuable insights for practitioners in the field.

    Publisher Logo

    IJ Publication Publisher

    Thank You Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Archit

    Archit Joshi

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    JETIR - Journal of Emerging Technologies and Innovative Research External Link

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    p-ISSN

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    e-ISSN

    2349-5162

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