Hybrid authentication systems: towards robust user authentication on wireless and mobile devices using biometric technologies

Adequate user authentication is a persistent problem, particularly with mobile devices, which tend to be highly personal and at the fringes of an organisation's influence. Yet these devices are being used increasingly in various business settings, where they pose a risk to security and privacy, not only from sensitive information they may contain, but also from the means they typically offer to access such information over wireless networks. User authentication is the first line of defence for a mobile device that falls into the hands of an unauthorised user. However, motivating users to enable simple password mechanisms and periodically update their authentication information is difficult at best. This paper examines some of the issues relating to the use of biometrics as a viable method of authentication on mobile wireless devices. It is also a critical analysis of some of the techniques currently employed and where appropriate, suggests novel hybrid ways in which they could be improved or modified. Both biometric technology and wireless setting based constraints that determine the feasibility and the performance of the authentication feature are specified. Some well known biometric technologies are briefly reviewed and their feasibility for wireless and mobile use is reviewed. Furthermore, a number of quantitative and qualitative parameters for evaluation are also presented. Biometric technologies are continuously advancing toward commercial implementation in wireless devices. When carefully designed and implemented, the advantage of biometric authentication arises mainly from increased convenience and coexistent improved security.

CO2 reduction and efficiency in road freight traffic: measures, baseline and potential

The objective of our research was to analyse the relevant logistic factors influencing energy efficiency in road freight transport, while quantifying the potential for CO2 reduction. We carried out a survey and linked fuel consumption to transport performance parameters in 50 German haulage companies during 2003. Efficiency ranges from 0.8 tkm to 26 tkm for 1 kg CO2 emissions. The results show a high potential for improvements, given a low level of efficiency in vehicle usage and load factor, scarce use of lightweight vehicle design, incorrectly selected vehicle class and a high proportion of empty runs. Efficiency measures are poorly applied.

Transforming relationship marketing via subversive readings

Where is the consumer represented within the discourses of Relationship Marketing? In our paper we deconstruct and critically (but productively) interrogate current Relationship Marketing discourse; and we argue for reconceptualising RM as a field of study through a transformatory process which involves the subversive reading of its academic texts. We argue that the consumer is silenced within relationship marketing discourse in a way that is fundamentally analogous with the gynopia (absence of women) in early sociological enquiry. Given that the means of transformation can potentially be found within contemporary feminist research, one of the main aims of this paper is to examine the parameters of feminist research and theory by presenting and explaining three representative frameworks (Fonow & Cook 1991, Maynard & Purvis 1994 and Harding 1988). The interrogative questions generated from the reading of feminist texts provide a framework to enable a close reading of RM ‘texts’. Using a form of discourse analysis, we read both ‘with the text’ and ‘against the grain’ (Tonkiss 1998:258) looking for ‘silences and gaps’ and making ‘conjectures about alternative accounts which are excluded by omission’ as well as those deliberately ‘countered by rhetoric’ (Tonkiss 1998:258). By striking together feminist methodology and a selected Relationship Marketing text to see if they spark (Brown 1999) our stance is activist and our purpose is to accelerate a restoration of the consumer’s voice as a central theoretical concern of this branch of Marketing.

Identification of meat spoilage by FTIR spectroscopy and neural networks

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid determination of meat spoilage, Fourier transform infrared (FTIR) spectroscopy technique, with the help of advanced learning-based methods, was attempted in this work. FTIR spectra were obtained from the surface of beef samples during aerobic storage at various temperatures, while a microbiological analysis had identified the population of Total viable counts. A fuzzy principal component algorithm has been also developed to reduce the dimensionality of the spectral data. The results confirmed the superiority of the adopted scheme compared to the partial least squares technique, currently used in food microbiology.

Be careful what you wish for: the legal parameters of EU withdrawal

Easiness with which the political circles talk about withdrawal from the European Union is rather surprising and proves that the legal parameters of an EU exit are not treated seriously enough. In theoretical terms Article 50 TEU allows for a unilateral exit as well as for a consensual divorce. Arguably, the first is an interesting abstract proposition, which, however, in practical terms seems to be an unworkable solution. Hence, the only realistic option is a proper divorce based on a withdrawal agreement. As per Article 50 TEU, it would be negotiated by the European Union with a departing country and should cover the terms of withdrawal and “take account of future relations” between the EU and the divorcee. It is submitted that in order to avoid a legal vacuum, this agreement should not only “take account of future relations” but actually deal with them thoroughly. This will make the negotiations difficult and, most likely, time consuming. One also has to envisage a scenario whereby a country leaving the European Union would join EFTA and become a EFTA-EU Member State of the European Economic Area. Should that happen the scope of a EU withdrawal agreement would be limited to the terms of exit, while future relations between the divorcee and the European Union would be mainly covered by the EEA Agreement. This chapter unlocks the mechanics of Article 50 TEU and the withdrawal procedure it provides for. It covers the issues that should be attended to by the negotiators and provides an overview of dossiers that are likely be covered in a withdrawal agreement.

Towards an Application-Specific Thermal Energy Model of Current Processors

Recent developments of high-end processors recognize temperature monitoring and tuning as one of the main challenges towards achieving higher performance given the growing power and temperature constraints. To address this challenge, one needs both suitable thermal energy abstraction and corresponding instrumentation. Our model is based on application-specific parameters such as power consumption, execution time, and asymptotic temperature as well as hardware-specific parameters such as half time for thermal rise or fall. As observed with our out-of-band instrumentation and monitoring infrastructure, the temperature changes follow a relatively slow capacitor-style charge-discharge process. Therefore, we use the lumped thermal model that initiates an exponential process whenever there is a change in processor’s power consumption. Initial experiments with two codes – Firestarter and Nekbone – validate our thermal energy model and demonstrate its use for analyzing and potentially improving the application-specific balance between temperature, power, and performance.

A Rapid Detection of Meat Spoilage using an Electronic Nose and Fuzzy-Wavelet systems

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid detection of meat spoilage microorganisms during aerobic or modified atmosphere storage, an electronic nose with the aid of fuzzy wavelet network has been considered in this research. The proposed model incorporates a clustering pre-processing stage for the definition of fuzzy rules. The dual purpose of the proposed modelling approach is not only to classify beef samples in the respective quality class (i.e. fresh, semi-fresh and spoiled), but also to predict their associated microbiological population directly from volatile compounds fingerprints. Comparison results against neural networks and neurofuzzy systems indicated that the proposed modelling scheme could be considered as a valuable detection methodology in food microbiology

Neuro-Fuzzy based Identification of Meat Spoilage using an Electronic Nose

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. The performance of a portable electronic nose has been evaluated in monitoring the spoilage of beef fillet stored aerobically at different storage temperatures (0, 4, 8, 12, 16 and 20°C). An adaptive fuzzy logic system model that utilizes a prototype defuzzification scheme has been developed to classify beef samples in their respective quality class and to predict their associated microbiological population directly from volatile compounds fingerprints. Results confirmed the superiority of the adopted methodology and indicated that volatile information in combination with an efficient choice of a modeling scheme could be considered as an alternative methodology for the accurate evaluation of meat spoilage