Two papers are presented at the EDMEDIA conference (“Integrated Approach for the Detection of Learning Styles and Affective States” and “Screen Recording for E-Learning”)
Together with Martin Ebner, Edgar Weippl presents a tutorial on e-learning at the ED-MEDIA conference; Edgar is also member of the steering committee.
From 18th to 19th June 2009 Aad van Moorsel and Simon E. Parkin from Newcastle University will visit our research center. Our goal is to identify and initialize joint research projects between Newcastle University and Secure Business Austria in the field of economically justified security solutions.
On 18th June 2009 9am Aad van Moorsel and Simon E. Parkin will give a public talk on their Trust Economics project. Trust Economics is a research project, which is conducted jointly by Hewlett-Packard, Merrill-Lynch, Newcastle University, University College London and University of Bath. Its objective is to develop a methodology that allows companies to make decisions about security investments based on costs and benefits for the company. Aad van Moorsel and Simon Parkin will present their recent work on knowledge base support for IT security investment decisions. The distinguishing feature of the Trust Economics knowledge base is the inclusion of the human behavioral aspect in its underlying information security ontology. In addition to their recent research results and technology developments, we will discuss the rationale behind the Trust Economics project.
Stefan Fenz will hold a four week IT security course at the 2009 Konkuk University International Summer Program. Konkuk University, is one of the leading private universities in Korea, generally regarded as one of the top 10 universities in Korea out of over 370 universities and colleges.
Edgar Weippl takes part in the round-table discussion on innovation and knowledge transfer organized by ZIT.
Our paper “Business Process-based Resource Importance Determination” has been accepted at the 7th International Conference on Business Process Management (BPM’2009).
Traditionally, the BPM conference attracts the outstanding researchers in the field and abides to the highest academic standards. BPM solicits original research papers that break new ground in or make significant novel contributions to the field. The acceptance rate in previous editions has been around 14%. (cf. http://www.bpm2009.org/)
Prof. Maria Damiani gave a talk on “Spatio-temporal access control: state-of-the-art and open issues”.
In the last few years, a number of spatial and spatio-temporal access control models have been developed in the framework of pervasive computing and location-based services. The distinguishing feature of those models is that the access authorization is subordinated to the satisfaction of contextual conditions, such as spatial proximity or containment in certain spaces. For example, health records can be only accessed by personnel located in the hospital during working hours. In most cases those models extend RBAC to allow for the specification of simple constraints based on location and time which are then enforced upon users’ request. Many issues, however, remain to be investigated, for example the administration of spatio-temporal policies, the specification of usage control in mobile applications, the development of suitable architectures and the protection of privacy. In this talk, I will overview research in spatio-temporal access control and discuss a few open issues.
Prof. Daniel S. Yeung gave a talk on “Sensitivity Based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection”.
Generalization error model provides a theoretical support for a classifier’s performance in terms of prediction accuracy. However, existing models give very loose error bounds. This explains why classification systems generally rely on experimental validation for their claims on prediction accuracy. In this talk we will revisit this problem and explore the idea of developing a new generalization error model based on the assumption that only prediction accuracy on unseen points in a neighborhood of a training point will be considered, since it will be unreasonable to require a classifier to accurately predict unseen points “far away” from training samples. The new error model makes use of the concept of sensitivity measure for an ensemble of multiplayer feedforward neural networks (Multilayer Perceptrons or Radial Basis Function Neural Networks). Two important applications will be demonstrated, model selection and feature reduction for RBFNN classifiers. A number of experimental results using datasets such as the UCI, the 99 KDD Cup, and text categorization, will be presented.
Edgar Weippl gives a talk on Database Forensic at the Security Forum in Hagenberg.
Abstract: Whenever data is being processed, there are many places where parts of the data are temporarily stored; thus forensic analysis can reveal past activities, create a (partial) timeline and restore deleted data. While this fact is well known for computer forensic and multiple tools to forensically analyze data exit, the systematic analysis of database systems has only recently begun.
Clearly, database system are bound to leave more extensive traces since they not only store a file but, in addition, need indexes, rollback segments and log files. In this tutorial we will cover the basics of forensic analysis particularly focusing on database systems.