Analysis of information leakage from encrypted Skype conversations

Voice over IP (VoIP) has experienced a tremendous growth over the last few years and is now widely used among the population and for business purposes. The security of such VoIP systems is often assumed, creating a false sense of privacy. This paper investigates in detail the leakage of information from Skype, a widely used and protected VoIP application. Experiments have shown that isolated phonemes can be classified and given sentences identified. By using the dynamic time warping (DTW) algorithm, frequently used in speech processing, an accuracy of 60% can be reached. The results can be further improved by choosing specific training data and reach an accuracy of 83% under specific conditions. The initial results being speaker dependent, an approach involving the Kalman filter is proposed to extract the kernel of all training signals.

The challenges of joint working: lessons from the Supporting People Health Pilot evaluation

Purpose: This paper reports the findings of the evaluation of the Supporting People Health Pilots programme, which was established to demonstrate the policy links between housing support services and health and social care services by encouraging the development of integrated services. The paper highlights the challenges Method: The evaluation of the six health pilots rested on two main sources of data collection: Quarterly Project Evaluation Reports collected process data as well as reporting progress against aims and objectives. Semi-structured interviews—conducted across all key professional stakeholder groups and agencies and with people who used services—explored their experiences of these new services. Results: The ability of pilots to work across organisational boundaries to achieve their aims and objectives was associated not only with agencies sharing an understanding of the purpose of the joint venture, a history of joint working and clear and efficient governance arrangements but on two other characteristics: the extent and nature of statutory sector participation and, whether or not the service is defined by a history of voluntary sector involvement. In particular the pilots demonstrated how voluntary sector agencies appeared to be less constrained by organisational priorities and professional agenda and more able to respond flexibly to meet the complex needs of individuals. Conclusion and discussion: The pilots demonstrate that integrating services to support people with complex needs works best

The level playing field: the impact of assessment practice on professional development

Context: The effects of assessment practice on students’ learning are unclear, particularly regarding professional development. Corralling in objective structured clinical examinations (OSCEs) is designed to reduce illicit passing of examination information. Candidates completing an examination are kept secluded until the next cohort of examinees has begun. We used the introduction of corralling as a context in which to explore social influences on examination misconduct, with the aims of improving understanding of the hidden effects of assessment, and evaluating the acceptability of corralling from the student perspective.

Methods: A questionnaire was administered to students corralled post-OSCE for the first time. Eleven semi-structured interviews were subsequently conducted. Questionnaire data were analysed for descriptive statistics and thematic analysis of interview transcripts was carried out.

Results: The questionnaire response rate was 95.4% (251/263). Before corralling, 80.9% (203/251) of students were aware of the sharing of information among peers and 78.5% (197/251) agreed that such misconduct was unprofessional. The majority were in favour of corralling (90.8%, 228/251). Four themes emerged from the semi-structured interviews: the student network versus the individual; assessment-driven culture; the deferring of professionalism, and the ‘level playing field’. Students saw interaction within the student network, on a background of assessment-driven culture, as the key driver in examination misconduct. Conforming to the rules of the social network was prioritised over individual agency, although the mismatch between the rules of the network and the dominant professional discourse caused some conflict for individuals. Deferred professionalism (described as the practice of taking on the norms of professional behaviour only when qualified) was a rationalisation used to minimise this conflict. Corralling provided a ‘level playing field’ in which the influences of the network were minimised.

Conclusions: Examination misconduct is thus a complex social construction with implications for individual learners in terms of professional development. Corralling is one mechanism for addressing misconduct that is acceptable to students, but assessment processes have important hidden effects which educators should acknowledge.

Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland

Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11-17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.

Capitalism, the state and health care in the age of austerity:A Marxist analysis

The capacity to provide satisfactory nursing care is being increasingly compromised by current trajectories of healthcare funding and governance. The purpose of this paper is to examine how well Marxist theories of the state and its relationship with capital can explain these trajectories in this period of ever-increasing austerity. Following a brief history of the current crisis, it examines empirically the effects of the crisis, and of the current trajectory of capitalism in general, upon the funding and organization of the UK and US healthcare systems. The deleterious effect of growing income inequalities to the health of the population are also addressed. Marx’s writings on the state and its relation to the capitalist class were fragmentary, and historically and geographically specific. From them, we can extract three theoretical variants: the instrumentalist theory of the state, where the state has no autonomy from capital; the abdication theory, whereby capital abstains from direct political power and relies on the state to serve its interests; and the class-balance theory of the state, whereby the struggle between two opposed classes allows the state to assert itself. Discussion of modern Marxist interpretations include Poulantzas’s structuralist abdication theory and Miliband’s instrumentalist theory. It is concluded that, despite the pluralism of electoral democracies, the bourgeoisie do have an overweening influence upon the state. The bourgeoisie’s ownership of the means of production provides the foundation for its influence because the state is obliged to rely on it to manage the supply of goods and services and the creation of wealth. That power is further reinforced by the infiltration of the bourgeoisie into the organs of state. The level of influence has accelerated rapidly over recent decades. One of the consequences of this has been that healthcare systems have become rich pickings for the evermore confident bourgeoisie.

How Do Trainees Rate the Impact of a Short Cognitive Behavioural Training Programme on their Knowledge and Skills?

Background: A strong evidence base for cognitive behavioural therapy has led to CBT models becoming available within mainstream mental health services. As the concept of stepped care develops, new less intensive mental health interventions such as guided self-help are emerging, delivered by staff not trained to the level of accredited Cognitive Behavioural Therapists. Aim: The aim of this study was to determine how mental health staff evaluated the usefulness of a short training programme in CBT concepts, models and techniques for routine clinical practice.
Method: A cohort of mental health staff (n = 102) completed pre- and posttraining self-report questionnaires measuring trainee perceptions of the impact of a short training programme on knowledge and skills. Mentors and managers were also asked to comment on perceived impact of the training.
Results: Trainees and mentors reported perceived gains in knowledge and skills posttraining and at 1-year follow-up. Managers and trainees reported perceived improvements in skills and practice. Conclusion: A short Cognitive Behavioural skills programme can enable mental health staff to integrate basic CB knowledge and skills into routine clinical practice.

The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique

Biosignal measurement and processing is increasingly being deployed in ambulatory situations particularly in connected health applications. Such an environment dramatically increases the likelihood of artifacts which can occlude features of interest and reduce the quality of information available in the signal. If multichannel recordings are available for a given signal source, then there are currently a considerable range of methods which can suppress or in some cases remove the distorting effect of such artifacts. There are, however, considerably fewer techniques available if only a single-channel measurement is available and yet single-channel measurements are important where minimal instrumentation complexity is required. This paper describes a novel artifact removal technique for use in such a context. The technique known as ensemble empirical mode decomposition with canonical correlation analysis (EEMD-CCA) is capable of operating on single-channel measurements. The EEMD technique is first used to decompose the single-channel signal into a multidimensional signal. The CCA technique is then employed to isolate the artifact components from the underlying signal using second-order statistics. The new technique is tested against the currently available wavelet denoising and EEMD-ICA techniques using both electroencephalography and functional near-infrared spectroscopy data and is shown to produce significantly improved results. © 1964-2012 IEEE.

Women Speaking of National Security: The Case of Checkpoint Watch

The production of reports and the distribution of information have become integral to the operation of many non-governmental organizations. In this regard, the fact that the all-women organization of Checkpoint Watch publishes reports about the Israeli checkpoints in the occupied West Bank seems to comply with current trends. However, the reports—most of which are short repetitive descriptions of the banality and everydayness of the military checkpoints, counting the number of people and cars waiting, commenting on the manner in which the checks are performed and meticulously documenting what mostly amounts to minor incidents of humiliation and distress—do not seem to abide by any convention of reporting. This work analyzes the reporting praxis of the organization and claims that it should be understood as a form of activism in and of itself. Tracking the ways in which the reports address the Israeli public through the concept of parrhesia, the work suggests that this form of reporting enables the women activists to use their gendered marginality to make their way into the highly masculinized and militarized Israeli security discourse.

The formal specification of abstract data types and their implementation in Fortran 90: Implementation issues concerning the use of pointers

In this paper we continue our investigation into the development of computational-science software based on the identification and formal specification of Abstract Data Types (ADTs) and their implementation in Fortran 90. In particular, we consider the consequences of using pointers when implementing a formally specified ADT in Fortran 90. Our aim is to highlight the resulting conflict between the goal of information hiding, which is central to the ADT methodology, and the space efficiency of the implementation. We show that the issue of storage recovery cannot be avoided by the ADT user, and present a range of implementations of a simple ADT to illustrate various approaches towards satisfactory storage management. Finally, we propose a set of guidelines for implementing ADTs using pointers in Fortran 90. These guidelines offer a way gracefully to provide disposal operations in Fortran 90. Such an approach is desirable since Fortran 90 does not provide automatic garbage collection which is offered by many object-oriented languages including Eiffel, Java, Smalltalk, and Simula.

An Integrated Toolkit for the Conservation of Stone-Built Heritage

Rapid in situ diagnosis of damage is a key issue in the preservation of stone-built cultural heritage. This is evident in the increasing number of congresses, workshops and publications dealing with this issue. With this increased activity has come, however, the realisation that for many culturally significant artefacts it is not possible either to remove samples for analysis or to affix surface markers for measurement. It is for this reason that there has been a growth of interest in non-destructive and minimally invasive techniques for characterising internal and external stone condition. With this interest has come the realisation that no single technique can adequately encompass the wide variety of parameters to be assessed or provide the range of information required to identify appropriate conservation. In this paper we describe a strategy to address these problems through the development of an integrated `tool kit' of measurement and analytical techniques aimed specifically at linking object-specific research to appropriate intervention. The strategy is based initially upon the acquisition of accurate three-dimensional models of stone-built heritage at different scales using a combination of millimetre accurate LiDAR and sub-millimetre accurate Object Scanning that can be exported into a GIS or directly into CAD. These are currently used to overlay information on stone characteristics obtained through a combination of Ground Penetrating Radar, Surface Permeametry, Colorimetry and X-ray Fluorescence, but the possibility exists for adding to this array of techniques as appropriate. In addition to the integrated three-dimensional data array provided by superimposition upon Digital Terrain Models, there is the capability of accurate re-measurement to show patterns of surface loss and changes in material condition over time. Thus it is possible to both record and base-line condition and to identify areas that require either preventive maintenance or more significant pre-emptive intervention. In pursuit of these goals the authors are developing, through a UK Government supported collaboration between University Researchers and Conservation Architects, commercially viable protocols for damage diagnosis, condition monitoring and eventually mechanisms for prioritizing repairs to stone-built heritage. The understanding is, however, that such strategies are not age-constrained and can ultimately be applied to structures of any age.

Understanding Risk: Recent Contributions from the Journal of Risk and Governance

Following on from the format of the previous Book Understanding Risk: Contributions from the Journal of Risk and Governance, this collection of recent contributions (including work by the editor) this book is divided in three sections .  The first section examines issues relating to corporate governance in the private sector, with emphasis being placed on issues of 'Board Decision Making,' Earnings Management and Audit Committee Effectiveness'  and ' Corporate Governance Failures.'  These contributions are complemented by the second sections which looks at governance and risk issues affecting the public sector, with a focus being places on 'Public Private Partnerships' and regulation of activities in the Life Sciences.'  Section three focuses on societal risk management in relation to health, safety and the environment.  In this context, contributions are presented in relation to major debates surrounding 'Rising Trends in Cancer Cases,' dilemmas surrounding 'Medical Self Help,' 'Mental Health Policy' and the use of 'Information Technology in Health Care.'

Homogenization and analysis of an expanded long-term monthly rainfall network for the Island of Ireland (1850–2010)

Long-term precipitation series are critical for understanding emerging changes to the hydrological cycle. To this end we construct a homogenized Island of Ireland Precipitation (IIP) network comprising 25 stations and a composite series covering the period 1850–2010, providing the second-longest regional precipitation archive in the British-Irish Isles. We expand the existing catalogue of long-term precipitation records for the island by recovering archived data for an additional eight stations. Following bridging and updating of stations HOMogenisation softwarE in R (HOMER) homogenization software is used to detect breaks using pairwise and joint detection. A total of 25 breakpoints are detected across 14 stations, and the majority (20) are corroborated by metadata. Assessment of variability and change in homogenized and extended precipitation records reveal positive (winter) and negative (summer) trends. Trends in records covering the typical period of digitization (1941 onwards) are not always representative of longer records. Furthermore, trends in post-homogenization series change magnitude and even direction at some stations. While cautionary flags are raised for some series, confidence in the derived network is high given attention paid to metadata, coherence of behaviour across the network and consistency of findings with other long-term climatic series such as England and Wales precipitation. As far as we are aware, this work represents the first application of HOMER to a long-term precipitation network and bodes well for use in other regions. It is expected that the homogenized IIP network will find wider utility in benchmarking and supporting climate services across the Island of Ireland, a sentinel location in the North Atlantic.

The inventorying of building stone performance-in-use to assess susceptibility to decay

The Natural Stone Database for Northern Ireland was constructed to address the paucity of information available to stone conservation practitioners within the region. Almost 2000 listed buildings and monuments were surveyed over three years to produce an interactive GIS database. This contained information on stone sources, together with details of stone condition and decay processes. This paper uses elements of this GIS to investigate stone decay patterns across Northern Ireland. The results demonstrate that as the level of stone decay increases, so does the proportion of buildings with sandstone as the primary stone type. It appears that a
higher open porosity level combined with Northern Ireland’s wetter climate and maritime location leads to rapid wetting and drying cycles within sandstones. This is coupled with the ingress and crystallisation of marine and other salts within stone pores leading to considerably
higher rates of decay than for any other stone type.

On the Privacy of Encrypted Skype Communications

The privacy of voice over IP (VoIP) systems is achieved by compressing and encrypting the sampled data. This paper investigates in detail the leakage of information from Skype, a widely used VoIP application. In this research, it has been demonstrated by using the dynamic time warping (DTW) algorithm, that sentences can be identified with an accuracy of 60%. The results can be further improved by choosing specific training data. An approach involving the Kalman filter is proposed to extract the kernel of all training signals.