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@article{184362,
        author = {Dr. Ambarish Kumar Patel},
        title = {Network Security in Big Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1143-1148},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184362},
        abstract = {As network security becomes increasingly important, the use of Big Data in this field is growing rapidly. This paper introduces how Big Data can be applied to networking today and in the future. While Big Data analytics offers powerful tools for monitoring and protecting networks, it also brings new security concerns. Key concepts in Big Data—such as real-time data processing, distributed systems, and predictive analytics—highlight possible risks. These technologies handle large volumes of sensitive information, which may expose networks to threats like unauthorized access, data breaches, and loss of privacy. Therefore, it is essential to identify and address these security issues early. This paper outlines major challenges that may arise when applying Big Data to network security and emphasizes the need for strong protection measures to ensure data confidentiality and integrity.},
        keywords = {Big data, Network security, threats, Big data Network security},
        month = {September},
        }