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Maturity assessment modelling is a recognised instrument in both academic and business domains which has recently become the focus of discussion in connection with sustainable information and communication technology. At the same time, the acceptance of Corporate Environmental Information Systems (CEMIS) in the corporate world remains modest, and CEMIS continue to be confronted with various problems. Against this background, a maturity assessment model for IT-supported environmental management will be developed with the aim of incentivising companies to deploy CEMIS and thus increase its usage in the corporate domain. The long-term goal is to fundamentally shift the status of environmental management so that it is no longer viewed as being passive, non-integrated and often costly, but rather as being a strategic instrument whose potential can be systematically exploited with the help of a maturity assessment model. The development of maturity assessment models will first be illustrated with the help of a process model. As the development of a maturity assessment model for environmental management in general represents an extremely comprehensive undertaking, application of the model developed here will be explored in the limited context of energy management and planned implementation within a corporate network.

The explosion of social networks is pervading every form of business. When used inside corporate networks, they can create potential vulnerabilities as employees at the lower levels in the organization chart may become influential thanks to social connections. This unexpected influence could be dangerous if the employee behaves maliciously reducing thus the trustworthiness of the overall organization. The paper is a first attempt in understanding this phenomenon by proposing a model for corporate networks that is able to measure the influence of each employee on the overall organizational chart, that is, to which extent an employee is able to spread (mis)information through the corporate network. The evaluation is done considering the Enron case.

In this paper we propose a methodology for detecting abnormal traffic on the net, such as worm attacks, based on the observation of the behaviours of different elements at the network edges. In order to achieve this, we suggest a set of critical features and we judge normal site status based on these standards. For our goal this characterization must be free of virus traffic. Once this has been set, we would be able to find abnormal situations when the observed behaviour, set against the same features, is significantly different from the previous model. We have based our work on NetFlow information generated by the main routers in the University of Zaragoza network, with more than 12,000 hosts. The proposed model helps to characterize the whole corporate network, sub-nets and the individual hosts. This methodology has proved its effectiveness in real infections caused by viruses such as SpyBot, Agobot, etc in accordance with our experimental tests. This system would allow to detect new kind of worms, independently from the vulnerabilities or methods used for their propagation.