Abstract
The massive increase in network-based traffic reveals enterprise networks to a vast range of threats. Disruptive traffic is interfering with the daily activity of the network by wasting organizational energy and time. Efficiency is boosted by effective methods for detecting, defending, and minimizing disruptive events. IDS is one of the most important characteristics of network and host protection since it is deployed in the network and at the client hardware level to track suspicious traffic in the network and on specific computers. The information obtained from IDS includes the threats and normal activities which will help in improving the performance of the IDS. The patterns and crucial threats can be identified by analyzing the obtained information. The data is analyzed using the tableau application.
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Pande, S., Kamparia, A., Gupta, D. (2022). Recommendations for DDOS Threats Using Tableau. In: Gupta, D., Polkowski, Z., Khanna, A., Bhattacharyya, S., Castillo, O. (eds) Proceedings of Data Analytics and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 91. Springer, Singapore. https://doi.org/10.1007/978-981-16-6285-0_7
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