Vol. 1 No. 4 (2024)

					View Vol. 1 No. 4 (2024)

We are pleased to present the fourth issue of our journal, which features two insightful research articles and one comprehensive review. These articles explore diverse topics, including the use of geographic information systems and clustering algorithms to understand spatial patterns of violence against women and children, the potential of emerging technologies to enhance health capital and promote common prosperity, and a survey of network security traffic analysis and anomaly detection techniques.

In the first research article, titled "Spatial Patterns of Violence Against Women and Children using Geographic Information System and Density-Based Clustering Algorithm," the authors employ advanced geospatial analysis techniques to uncover patterns of violence against vulnerable populations. By leveraging geographic information systems and density-based clustering algorithms, the study provides valuable insights into the spatial distribution of these incidents, enabling policymakers and stakeholders to develop targeted interventions and support systems.

The second research article, "Enhancing Health Capital and Promoting Common Prosperity from the Perspective of Emerging Technologies," explores the potential of cutting-edge technologies to improve health outcomes and promote social equity. The authors discuss how innovations such as artificial intelligence, telemedicine, and personalized medicine can contribute to building health capital and fostering inclusive growth. The article highlights the importance of harnessing these technologies responsibly to ensure that their benefits are accessible to all segments of society.

In the review article, "A Survey on Network Security Traffic Analysis and Anomaly Detection Techniques," the authors provide a comprehensive overview of the latest approaches and methodologies used in network security. The survey covers various aspects of traffic analysis and anomaly detection, including machine learning-based techniques, statistical methods, and hybrid approaches. The article serves as a valuable resource for researchers and practitioners working in the field of network security, offering insights into the state-of-the-art techniques and future research directions.

We hope that this issue of the journal will stimulate further research and discussion on these important topics. We invite our readers to explore these articles in depth and share their thoughts and perspectives with the research community.

Published: 2024-05-27

Research Articles


  • A Survey on Network Security Traffic Analysis and Anomaly Detection Techniques

    Weibao Zhang, Joan P. Lazaro (Author)
    DOI: https://doi.org/10.62677/IJETAA.2404117