NDLI: Decision centric identification and rank ordering of security metrics

Content Provider	IEEE Xplore Digital Library
Author	Khan, M. Omer, M. Copeland, J.
Copyright Year	2012
Description	Author affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA (Khan, M.; Omer, M.; Copeland, J.)
Abstract	A network has several attributes which play a role in determining the security of the network and its robustness to external threats. These attributes are related to security through a complex nonlinear function which is generally unknown to the network management personnel. Since the network security is an explicit function of these attributes, the managers do not realize when the value of a certain attribute has become critical to the point of threatening network security. In this paper we take a theoretically rigorous approach to quantifying the effect each of the individual attributes has on the network. By using ideas from probability and decision theory, we can order the significant factors determining network security. This is similar to dimensionality reduction which is commonly employed for model based identification methods. Based on our analysis we can come up with critical coefficients which must be maintained by the administrator if the network is to remain secure to external threats. We show how the mathematical framework leads to the prediction of network's security health, and how real world data can be used to substantiate these claims. Paper concludes by validating our results on a list of compromised machine and determining if our identified metrics played the significant role in the infection.
Starting Page	208
Ending Page	211
File Size	775413
Page Count	4
File Format	PDF
ISBN	9781467315654
ISSN	07421303
e-ISBN	9781467315647
DOI	10.1109/LCN.2012.6423610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Security Measurement Operating systems Probability density function Decision theory Educational institutions pdf (probability density function) security metric botnet traffic characterization decision theory
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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