Cost Benefit Analysis in Intrusion Detection System
Journal Title: International Research Journal in Global Engineering and Sciences - Year 2016, Vol 1, Issue 2
Abstract
Assessing the cost-benefit tradeoff of a network intrusion detection system requires an understanding of the effectiveness of the system and the cost of its employment. In this paper, we propose a cost-benefit analysis methodology and build a cost model based on an investigation of the cost factors and categories of various intrusions. The model can be used to quantitatively and qualitatively calculate the cost of detecting and responding to an intrusion, and provide necessary advice for determining the tradeoff between costs and benefits.
Authors and Affiliations
Saravana Kumar S
Mark Announcement System to Reduce Workload in Continuous Student Monitoring
The “ANNOUNCEMENT SYSTEM” is designed Using visual Studio .NET. The coding language is Visual basic .NET and Microsoft Access as backend .The project involves Student marks, reviews, notifications to their parents mobil...
Women's Leadership in India through the Ages
The evil customs like sati, devadasi, sex-selective abortion etc. were abolished long ago in India. However, the practices like, infanticide, child marriage, dowry killings etc. still plagues many parts of this sub-conti...
Voltage And Frequency Controller for An Induction Generator Based Stand Alone Wind Energy Conversion System
This paper presents a voltage and frequency controller (VFCs) for induction generator for standalone wind energy conversion systems. In wind turbine-driven isolated asynchronous generator, magnitude and frequency of the...
Implementation of Association Rule Mining for Bridge Datasets Using Weka
Data mining playing vital information in extracting useful information from large amount of data set. Apriori algorithm generate useful rule by finding frequent itemset from huge data set. In this paper can apply the Ap...
Effective Customer Patterns Analysis Using Open Source Weka Data Mining Tool
Data mining playing vital information in extracting useful information from large amount of data set. Apriori algorithm generate useful rule by finding frequent itemset from huge data set. In this paper can apply the Ap...