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The purpose of this paper is to show how digital watermarking can be applied to assist and improve cryptography‐based digital rights management (DRM) systems by allowing the protection of content beyond the domain protected by the DRM system.

Digital watermarking is a passive technology, not allowing the active prevention of copyright violations. But it allows the irreversible linking of information with multimedia data, ensuring that an embedded watermark can be retrieved even after analogue copies. Therefore watermarking can be used where DRM fails: whenever content needs to be moved out of the protected DRM domain, e.g. when playing back content via analogue output channels it can mark the content with information that would help to identify its origin if it is used for copyright violations. The remaining challenge now is to find the marked content within the channels regularly used for copyright violations. The paper therefore introduces a concept for scanning file sharing networks for marked content.

The vast number of files present in the file sharing networks prohibits every approach based on completely scanning and analysing each file. Therefore concepts for filtered search queries where only potentially watermarked files are downloaded are discussed.

The paper shows how watermarking can be applied as a technology to allow active content protection beyond the limitations of current DRM systems.

The purpose of this Guest Editorial is to introduce the papers in this special issue.

A brief summary of the main contributions of the papers included in this issue is provided.

In order to combat the digital information war it was found that important work must be done to establish both users' and content providers' trust through fair e‐commerce/digital rights management (DRM).

The paper provides an overview of the basic requirements of DRM systems.

This chapter explains how economic analysis can contribute to the delineation of the lone wolf’s opportunities and choices in a manner that allows operationally relevant advice to be contributed to the investigative process.

Using a risk-reward analytical framework we examine the lone wolf’s attack method opportunities and choices and identify those attack methods that would be chosen by lone wolves with different levels of risk aversion. We also use prospect theory as an alternative methodology for the determination of the lone wolf’s preference orderings over the available attack methods in a context where he references his actions against those of a predecessor whom he wishes to emulate.

We find that lone wolf terrorists with different levels of risk aversion can be expected to choose different attack methods or combinations of attack methods. More risk averse lone wolf terrorists will choose attack methods such as assassination. Less risk averse lone wolf terrorists will choose attack methods such as bombing, hostage-taking and unconventional attacks. Also, we find that lone wolf terrorists who reference their actions against ‘predecessor’ lone wolf terrorists will choose differently from among the available attack methods depending on which predecessor lone wolf is being referenced.

The analysis provides two different perspectives on terrorist choice but by no means exhausts the analytical alternatives. The analysis focuses on the fatalities and injuries inflicted whereas other perspectives might include different ‘payoffs’ series, including news or media coverage.

The chapter contributes an analysis of the order in which lone wolf terrorists with particular characteristics will choose from a set of available attack methods. During the course of our discussion we point out the consistency between the ‘rise’ of the lone wolf terrorist and the diseconomies to scale that are evident within the terrorism context. This presents the opportunity for new debates.

Many current video games feature virtual worlds inhabited by autonomous 3D animated characters. These characters often fall short in their ability to participate in social interactions with each other or with people. Increasing the social capabilities of game characters could increase the potential of games as a platform for social learning. This article presents advances in the area of social autonomous character design. Specifically, a computational model of social relationship formation is described. This model formed the basis for a game entitled “AlphaWolf” that allows people to play the role of newborn pups in a pack of virtual wolves, helping the pups to find their place in the social order of the pack. This article offers the results from a 32‐subject user study that assessed the social relationship model, showing that it effectively represents the core elements of social relationships in a way that is perceivable by people. Additionally, this article proposes a game that will allow parents, teachers and children to experiment with computational social behavior through social virtual characters. This research contributes to the development of games for social learning by offering a set of viable algorithms for computational characters to form social relationships, and describing a project that could utilize this model to enable children to learn social skills by interacting with game characters.

In the recent past, mobile technologies that track the movement of people, freight and vehicles have evolved rapidly. The major categories of such technologies are reviewed and a number of attributes for classification are proposed. The willingness of people to engage in such technologically based surveys and the reported biases in the make-up of the sample obtained are reviewed. Lessons are drawn about the nature of the samples that can be achieved and the representativeness of such samples is discussed. Data processing is addressed, particularly in terms of the processing requirements for logged data, where additional travel characteristics required for travel analysis may need to be imputed. Another issue explored is the reliability of data entered by respondents in interactive devices and concerns that may arise in processing data collected in real time for prompting or interrogating respondents. Differences, in relation to the data user, between data from mobile devices and data from conventional self-report surveys are discussed. Potentials that may exist for changes in modelling from using such data are explored. Conclusions are drawn about the usefulness and limitations of mobile technologies to collect and process data. The extent to which such mobile technologies may be used in future, either to supplement or replace conventional methods of data collection, is discussed along with the readiness of the technology for today and the advances that may be expected in the short and medium term from this form of technology.

Over the past decade, transportation researchers have leveraged global positioning system (GPS) technology to improve the accuracy and increase the depth of spatial and temporal details obtained through household travel surveys. While earlier studies used GPS as a supplement to traditional household travel survey methods, measuring the accuracy of trips reported (Wolf et al., 2006), studies are now underway to identify the methods and tools that will allow us to do away with paper diaries entirely and simply rely on GPS to obtain trip details. This paper finds that while GPS clearly helps to improve participation among some groups, it decreases participation among others. Thus, it should be considered a tool in the household travel survey toolbox and not “the” solution to non-response issues in household travel surveys.