Defending the weakest link: phishing websites detection by analysing user behaviours

Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach for detecting phishing websites based on analysis of users’ online behaviours—i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can achieve high accuracy whilst being fundamentally resilient against changing deception methods.     

Regulation as a barrier to electronic commerce in Europe: the case of the European fund management industry

This paper presents results of exploratory research into the question of whether the distribution of investment funds via the Internet in Europe is being deterred by regulatory barriers. The paper examines the theoretical underpinnings behind financial services regulation and then asks if current regulation in place within the European Union and its Member States is consistent with this theory or indeed if regulation is acting as a barrier. Using both primary data and secondary sources, this exploratory study argues that European fund management firms face different regulatory obstacles, often the result of protectionism and the inconsistent application of financial regulations, in different EU countries. As a result, they are unable to reap the benefits that electronic commerce should bring in an industry that appears highly suited for it.     

Nine Months after the Launch of the World Commission on Dams Report

The World Commission on Dams (WCD) was established in 1998 in response to the increasing controversies over dam projects. Its report, published in November 2000, concluded that dams have delivered many benefits, but in too many cases the price paid to secure those benefits was unnecessarily high and adverse impacts could have been avoided. In recommending a way forward, the WCD presented a new framework for decision making based on a recognition of rights and an assessment of risks. The diverse reactions to the findings and recommendations of the report are outlined in the paper and some of the follow-up activities by government agencies, international organizations and the private sector described. The seven strategic priorities articulated in the WCD's report have received a considerable degree of support and provide a foundation for local processes to follow. A case is made for inclusive, multi-stakeholder processes at national and project level to find a way forward beyond conflicts.     

The Role of Coding Time in Estimating and Interpreting Growth Curve Models.

The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of receding time in growth curve models. Linear and quadratic growth model examples are provided, and the interpretation of estimates given a particular coding of time is illustrated. How and why the precision and statistical power of predictors of lower order growth curve components changes over time is illustrated and discussed. Recommendations include coding time to produce readily interpretable estimates and graphing lower order effects across time with appropriate confidence intervals to help illustrate and understand the growth process. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Modeling the effects of toxins in metabolic networks.

Abduction and induction are two forms of reasoning that have been widely used in machine learning. The combination of abduction and induction has recently been explored from a number of angles, one of which is the area of systems biology. The research reported in this article is being conducted as part of the MetaLog project, which aims to build causal models of the actions of toxins from empirical data in the form of nuclear magnetic resonance (NMR) data, together with information on networks of known metabolic reactions from the Kyoto Encyclopedia of Genes and Genomes (KEGG). The NMR spectra provide information concerning the flux of metabolite concentrations before, during, and after administration of a toxin     

High Voltage MOSFET Gate/Bulk Driver Controller for a Microbattery Switch Matrix in a 0.35 μ m Microwave SOI Technology

Integrated microbatteries are being currently developed to act as a “micropower” source in microsatellites. The current and voltage rating of the microbattery is fixed. Certain highly miniaturized systems require higher voltages and currents. A switching matrix is designed to achieve the same. The switching matrix is designed using High Voltage Metal Oxide Semiconductor (MOS) structures and bulk isolated H gate transistors. This paper presents a design approach to help attain any random grouping pattern between the microbatteries. In this case, the result is an ability to charge microbatteries in parallel and to discharge microbatteries in parallel or pairs of microbatteries in series. This is achieved by providing the appropriate gate/bulk voltages to the matrix. High Voltage MOS structures are developed which can take higher drain-to-source voltages in a 3.3 V process. The designs are built using Microwave Silicon-on-Insulator process. Vinesh Sukumar received the B.E. degree in Electronics and Instrumentation Engineering from Nagarjuna University, Bapatla, India in 2000. He received his M.S. degree in Electrical and Electronics Engineering in 2003 from University of Idaho, Moscow, ID. He is presently pursuing his Doctoral degree in Electrical Engineering at University of Idaho, Moscow, ID. His research interests include Radiation Hard Analog Design and Integrated Power Electronics.     

An End-to-end Workflow Pipeline for Large-scale Grid Computing

In this paper we describe a service-based, software architecture that enables end-to-end, high-level workflow processing in a Grid environment consisting of many heterogeneous resources. Our architecture is essentially a pipeline that extends from the abstract application specification phase to the deployment and execution stages through to returning the results to the user. We envision a large-scale Grid environment that contains heterogeneous resources. Our architecture caters for flexible deployment, performance, reliability and charging for resource usage. These are addressed at the specification level as well as at the realisation (brokering) and execution levels. The proposed architecture is derived from previous work in LeSC that has produced the ICENI pipeline, and our experience with e-Science projects, such as GENIE, e-Protein and RealityGrid from which we derive a set of key requirements.     

Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test.

Researchers often use 3-way interactions in moderated multiple regression analysis to test the joint effect of 3 independent variables on a dependent variable. However, further probing of significant interaction terms varies considerably and is sometimes error prone. The authors developed a significance test for slope differences in 3-way interactions and illustrate its importance for testing psychological hypotheses. Monte Carlo simulations revealed that sample size, magnitude of the slope difference, and data reliability affected test power. Application of the test to published data yielded detection of some slope differences that were undetected by alternative probing techniques and led to changes of results and conclusions. The authors conclude by discussing the test's applicability for psychological research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)