Previous studies have suggested that the relationship between price and quality for certain types of consumer goods often is not positive. Investigators have hypothesized that the experience of value, or the relationship between quality and price, may be less relevant for product categories in which a consumer's self-worth may be elevated through the act of purchase. Brands within such product categories would appear to be particularly susceptible to image building strategies involving the use of premium pricing to infer high quality.This study examined the relationship between price and objective quality from I96I through I978 for 878 brands of 54 products within three broad product categories of toilet articles, cosmetics, and clothing. Generally, the relationship for products within these categories was weak which suggests that marketing managers of some brands may well be basing prices on intangible as well as tangible values.

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Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructures use static detection mechanisms that check and monitor specific types of malicious traffic. To mitigate this potential waste of resources and improve scalability across an entire network, we propose a methodology which deploys distributed IDS in a Software Defined Network allowing them to be used for specific types of traffic as and when it appears on a network. The core of our work is the creation of an SDN application that takes input from a Snort IDS instances, thus working as a classifier for incoming network traffic with a static ruleset for those classifications. Our application has been tested on a virtualised platform where it performed as planned holding its position for limited use on static and controlled test environments.

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