Pseudo Identities Based on Fingerprint Characteristics

This paper presents the integrated project TURBINE which is funded under the EU 7th research framework programme. This research is a multi-disciplinary effort on privacy enhancing technology, combining innovative developments in cryptography and fingerprint recognition. The objective of this project is to provide a breakthrough in electronic authentication for various applications in the physical world and on the Internet. On the one hand it will provide secure identity verification thanks to fingerprint recognition. On the other hand it will reliably protect the biometric data through advanced cryptography technology. In concrete terms, it will provide the assurance that (i) the data used for the authentication, generated from the fingerprint, cannot be used to restore the original fingerprint sample, (ii) the individual will be able to create different "pseudo-identities" for different applications with the same fingerprint, whilst ensuring that these different identities (and hence the related personal data) cannot be linked to each other, and (iii) the individual is enabled to revoke an biometric identifier (pseudo-identity) for a given application in case it should not be used anymore

Human brain distinctiveness based on EEG spectral coherence connectivity

The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction of features characterizing the activity of single brain regions, like power-spectrum estimates, thus neglecting possible temporal dependencies between the generated EEG signals. However, important physiological information can be extracted from the way different brain regions are functionally coupled. In this study, we propose a novel approach that fuses spectral coherencebased connectivity between different brain regions as a possibly viable biometric feature. The proposed approach is tested on a large dataset of subjects (N=108) during eyes-closed (EC) and eyes-open (EO) resting state conditions. The obtained recognition performances show that using brain connectivity leads to higher distinctiveness with respect to power-spectrum measurements, in both the experimental conditions. Notably, a 100% recognition accuracy is obtained in EC and EO when integrating functional connectivity between regions in the frontal lobe, while a lower 97.41% is obtained in EC (96.26% in EO) when fusing power spectrum information from centro-parietal regions. Taken together, these results suggest that functional connectivity patterns represent effective features for improving EEG-based biometric systems.Comment: Key words: EEG, Resting state, Biometrics, Spectral coherence, Match score fusio

Watching You: Systematic Federal Surveillance of Ordinary Americans

To combat terrorism, Attorney General John Ashcroft has asked Congress to "enhance" the government's ability to conduct domestic surveillance of citizens. The Justice Department's legislative proposals would give federal law enforcement agents new access to personal information contained in business and school records. Before acting on those legislative proposals, lawmakers should pause to consider the extent to which the lives of ordinary Americans already are monitored by the federal government. Over the years, the federal government has instituted a variety of data collection programs that compel the production, retention, and dissemination of personal information about every American citizen. Linked through an individual's Social Security number, these labor, medical, education and financial databases now empower the federal government to obtain a detailed portrait of any person: the checks he writes, the types of causes he supports, and what he says "privately" to his doctor. Despite widespread public concern about preserving privacy, these data collection systems have been enacted in the name of "reducing fraud" and "promoting efficiency" in various government programs. Having exposed most areas of American life to ongoing government scrutiny and recording, Congress is now poised to expand and universalize federal tracking of citizen life. The inevitable consequence of such constant surveillance, however, is metastasizing government control over society. If that happens, our government will have perverted its most fundamental mission and destroyed the privacy and liberty that it was supposed to protect

Maintaining consumer confidence in electronic payment mechanisms

Credit card fraud is already a significant factor inhibiting consumer confidence in e-commerce. As more advanced payment systems become common, what legal and technological mechanisms are required to ensure that fraud does not do long-term damage to consumers' willingness to use electronic payment mechanisms

Smart cards: State-of-the-art to future directions

The evolution of smart card technology provides an interesting case study of the relationship and interactions between security and business requirements. This paper maps out the milestones for smart card technology, discussing at each step the opportunities and challenges. The paper reviews recently proposed innovative ownership/management models and the security challenges associated with them. The paper concludes with a discussion of possible future directions for the technology, and the challenges these present