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.
Sivaprasad Nadukuru Reviewer
04 Oct 2024 02:33 PM
Not Approved
Relevance and Originality
The topic of cybersecurity collaboration through information sharing is highly relevant, especially in the context of the escalating cyber threats faced by organizations worldwide. The originality of the study lies in its focus on the collaborative aspect of cybersecurity, exploring how collective efforts can enhance security measures. By addressing the dynamic and interconnected nature of digital systems, the research contributes to ongoing discussions about the best practices for improving cybersecurity resilience.
Methodology
The study employs a qualitative approach, analyzing various concepts, frameworks, and procedures related to cyber threat intelligence (CTI) and information sharing. While this approach is appropriate given the exploratory nature of the topic, a more detailed description of the specific methodologies used to gather and analyze data (e.g., interviews, surveys, case studies) would strengthen the paper. Additionally, discussing the criteria for selecting case studies and best practices would enhance the robustness of the methodology.
Validity & Reliability
To establish the validity and reliability of the findings, the paper should provide clear criteria for assessing the effectiveness of the identified frameworks and procedures. This could include metrics or indicators used to evaluate successful initiatives for sharing cyber threat intelligence. Additionally, a discussion of potential biases in the data sources or case studies analyzed would contribute to a more balanced understanding of the challenges and advantages of information sharing.
Clarity and Structure
The paper is generally clear in its presentation, but improved structure would enhance readability. Dividing the content into distinct sections such as Introduction, Methodology, Findings, and Conclusion would help guide the reader through the analysis. Using headings and subheadings effectively can also clarify the flow of ideas. Visual aids, such as charts or tables summarizing key findings, would further enhance clarity and engagement.
Result Analysis
The analysis of the advantages and difficulties of information sharing is a critical component of the study. However, a deeper exploration of the implications of these findings for different stakeholders (e.g., private sector, government agencies) would enrich the discussion. Addressing specific case studies in greater detail could provide concrete examples of successful collaborations and their outcomes. Additionally, a critical reflection on the limitations of the current study and areas for future research would offer valuable insights for scholars and practitioners alike, framing the ongoing evolution of cybersecurity strategies.
IJ Publication Publisher
Done Sir
Sivaprasad Nadukuru Reviewer