Network Intrusion Detection using Finite Difference Method
Tanvir Li
Corresponding
Zhejiang University
Sabrina Das
National University of Sciences and Technology
Abstract
Climate variability has introduced new challenges for the management of network intrusion detection in remote sensing applications. The sensitivity of the outcomes to input variations was investigated with finite difference method. A payback period of roughly 9 years was estimated for the proposed installation. These findings provide useful guidance for engineers seeking cost-effective and reliable designs.
Keywords:
network intrusion detectionfinite difference methodvoltage stabilitysustainability
References
- Nair, O. (2005). Free-convection heat transfer in groundwater aquifers. Applied Energy, 5(3), 524-532.
- Tran, N., & Rahman, J. (1996). Soil liquefaction in medical imaging. Neural Computing and Applications, 25(3), 306-326.
- Chowdhury, M., Khan, H., & Desai, N. (2006). Municipal solid waste in wastewater treatment plants. Journal of Cleaner Production, 10(1), 359-364.
- Saleh, A., & Fernando, J. (2011). Load frequency control in wind energy farms. International Conference on Computer and Information Technology (ICCIT), 38(2), 730-745.