Corporate cyberstalking:an invitation to build theory

Cyberstalking describes a relatively new form of stalking behaviour where technology is used as the medium of harassment. The term corporate cyberstalking is often used to describe incidents that involve organisations, such as companies and government departments. This paper uses a number of case studies in order to propose a typology of corporate cyberstalking. It is suggested that incidents involving corporate cyberstalking can be divided into two broad groups, depending on whether or not the organisation acts as a stalker or as a victim. Examining the motivations behind corporate cyberstalking allows these groups to be subdidvided further. The motives behind corporate cyberstalking can range from a desire for revenge against an employer to cyberterrorism. The paper also briefly discusses definitions of stalking and cyberstalking, concluding with a revised definition of cyberstalking that is more in keeping with the material discussed.

A comparison of linear forecasting models and neural networks:an application to Euro inflation and Euro Divisia

Linear models reach their limitations in applications with nonlinearities in the data. In this paper new empirical evidence is provided on the relative Euro inflation forecasting performance of linear and non-linear models. The well established and widely used univariate ARIMA and multivariate VAR models are used as linear forecasting models whereas neural networks (NN) are used as non-linear forecasting models. It is endeavoured to keep the level of subjectivity in the NN building process to a minimum in an attempt to exploit the full potentials of the NN. It is also investigated whether the historically poor performance of the theoretically superior measure of the monetary services flow, Divisia, relative to the traditional Simple Sum measure could be attributed to a certain extent to the evaluation of these indices within a linear framework. Results obtained suggest that non-linear models provide better within-sample and out-of-sample forecasts and linear models are simply a subset of them. The Divisia index also outperforms the Simple Sum index when evaluated in a non-linear framework. © 2005 Taylor & Francis Group Ltd.

DISCUS : an end-to-end solution for ubiquitous broadband optical access

Fiber to the premises has promised to increase the capacity in telecommunications access networks for well over 30 years. While it is widely recognized that optical-fiber-based access networks will be a necessity in the shortto medium-term future, its large upfront cost and regulatory issues are pushing many operators to further postpone its deployment, while installing intermediate unambitious solutions such as fiber to the cabinet. Such high investment cost of both network access and core capacity upgrade often derives from poor planning strategies that do not consider the necessity to adequately modify the network architecture to fully exploit the cost benefit that a fiber-centric solution can bring. DISCUS is a European Framework 7 Integrated Project that, building on optical-centric solutions such as long-reach passive optical access and flat optical core, aims to deliver a cost-effective architecture for ubiquitous broadband services. DISCUS analyzes, designs, and demonstrates end-to-end architectures and technologies capable of saving cost and energy by reducing the number of electronic terminations in the network and sharing the deployment costs among a larger number of users compared to current fiber access systems. This article describes the network architecture and the supporting technologies behind DISCUS, giving an overview of the concepts and methodologies that will be used to deliver our end-to-end network solution. © 2013 IEEE.

An end to end architecture for ubiquitous super-fast broadband

There is growing pressure to ensure that future broadband networks are both super fast and ubiquitously available to all users without the need for large government subsidies, this requires a radical change to network architectures. © OSA 2013.