With the time, Big Data became the core competitive factor for enterprises to develop and grow. Some enterprises such as, information industrial enterprises will put more focus on the technology or product innovation for solving the challenges of big data, i.e., capture, storage, analysis and application. Enterprises like, manufacturing, banking and other enterprises will also benefit from analysis and manage big data, and be provided more opportunities for management innovation, strategy innovation or marketing innovation. High performance network capacity provides the backbone for high end computing systems. These high end computing systems plays vital role in Big Data. Persistent and Sophisticated targeted network attacks have challenged today’s enterprise security teams. By exploring each aspect of high performance network capacity, the major objective of this research contribution is to present fundamental theoretical aspects in analytical way with deep focus on possibilities, impediments and challenges for network security in Big Data.
CITATION STYLE
Verma, P., Chandra, T. B., & Dwivedi, A. K. (2016). Network security in big data: Tools and techniques. In Advances in Intelligent Systems and Computing (Vol. 433, pp. 255–262). Springer Verlag. https://doi.org/10.1007/978-81-322-2755-7_26
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