Auflistung nach Autor:in "Zhou, Xuebing"
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- KonferenzbeitragBiometrische Template-Protection-Verfahren und Interoperabilitätsstrategien(Sicherheit 2010. Sicherheit, Schutz und Zuverlässigkeit, 2010) Busch, Christoph; Abt, Sebastian; Nickel, Claudia; Korte, Ulrike; Zhou, XuebingBiometrische Authentisierung wird häufig zur Verbesserung der Identitätsverifikation eingesetzt. Durch die Nutzung biometrischer Verfahren entstehen neue Herausforderungen an den Schutz der Privatsphäre betroffener Personen. In biometrischen Systemen gespeicherte Referenzdaten enthalten Informationen, die aus den biometrischen Charakteristika einer Person abgeleitet wurden. Das Speichern von Abbildern einer biometrischen Charakteristik (z.B. Fingerbilder) in einer Datenbank ist aus Datenschutzsicht ungeeignet, da die Charakteristik selbst nach einer etwaigen Korrumpierung der Datenbank nicht ersetzt werden kann. Des Weiteren ist die Anzahl der biometrischen Charakteristika eines Nutzers begrenzt. Biometrische Merkmale werden z.B. aus einem Fingerbild extrahiert und in einem Template gespeichert. Eine Mehrfachnutzung von Templates in verschiedenen Anwendungen kann zu sog. Cross-Matching-Problemen führen, wenn Anwendungen miteinander verknüpft werden. Darüber hinaus können Referenzdaten für die Authentisierung irrelevante Informationen enthalten (z.B. ethnische Zugehörigkeit, Krankheiten). Zur Lösung dieser Herausforderungen hat sich mit den Template-Protection-Verfahren eine Technologie entwickelt, die den Anforderungen des Datenschutzes gerecht wird. Offene Systeme erfordern jedoch die Möglichkeit zum Austausch von interoperablen Referenzdatensätzen. Dieser Beitrag betrachtet daher Sicherheitsanforderungen an biometrische Systeme, behandelt die aktuellen Standardisierungsbemühungen zu Biometric-Template-Protection und schlägt eine weitere Vorgehensweise vor.
- KonferenzbeitragAn efficient 3D facial landmark detection algorithm with Haar-like features and anthropometric constraints(BIOSIG 2013, 2013) Böckeler, Martin; Zhou, XuebingIn the last few years 3D face recognition has become more and more popular due to reducing cost of scanners and increasing computational power. The crucial and time-consuming step is landmark localization and normalization of facial surface. Due to acquisition, noise and other artifacts like spikes and holes occur. Most systems require computational intensive preprocessing steps to eliminate these artifacts. As a consequence, a trade-off between runtime or detection accuracy must be made. In contrast, we propose a landmark detection algorithm which uses the Viola & Jones classifier on gradient images. The algorithm is able to reliably detect landmarks in raw 3D data without complicated preprocessing. Additionally, selection of sub regions is exploited to limit search regions. It further reduces false detection rate and improves significantly detection accuracy.
- KonferenzbeitragMulti-sample fusion with template protection(BIOSIG 2009: biometrics and electronic signatures, 2009) Kelkboom, Emile J. C.; Breebaart, Jeroen; Veldhuis, Raymond N. J.; Zhou, Xuebing; Busch, ChristophThe widespread use of biometrics and its increased popularity introduces privacy risks. In order to mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. Besides these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. Our work consists of analyzing feature-level fusion in the context of the template protection framework using the helper-data system. We verify the results using the FRGC v2 database and two feature extraction algorithms.
- KonferenzbeitragA Novel Privacy Enhancing Algorithm for Biometric System(BIOSIG 2008: Biometrics and Electronic Signatures, 2008) Zhou, Xuebing; Busch, ChristophBiometrics provide the possibility of unique and convenient authentication. As its application areas grow rapidly, the problems, such as identity fraud and cross matching, threaten the security of biometric systems. Moreover, privacy concerns are associated with biometrics. In this paper we focus on privacy enhancing techniques for biometric systems, which can protect biometric information and enable using biomet- rics without exposure of privacy. A novel privacy enhancing algorithm is proposed. The algorithm is integrated in a 3D face recognition algorithm and tested using the FRGC database. By using the proposed algorithm, high security can be achieved as well as good verification performance.
- KonferenzbeitragA practical view of privacy preserving biometric authentication(SICHERHEIT 2012 – Sicherheit, Schutz und Zuverlässigkeit, 2012) Zhou, XuebingRecently, biometric market is growing rapidly and biometric applications can be found in diverse areas such as border control, banking, ID-documents, access control, etc. However, usage of personal biometric information can harm privacy of users and raise problems of cross matching and identity theft. Privacy preserving techniques like template protection are an important supplement to biometric systems to prevent abuse of stored biometric information and to improve security of biometric authentication. This work introduces the concept of biometric privacy preserving techniques and shows how to quantify their security and privacy in practice with help of a generalized evaluation framework. The advantages as well as limitations of the existing methods are analyzed. Additionally, systematic security considerations are given and a guideline to successfully design privacy preserving techniques for biometric systems is proposed.
- KonferenzbeitragPrivacy Enhancing Technology for a 3D-Face Recognition System(BIOSIG 2007: biometrics and electronic signatures, 2007) Zhou, Xuebing; Kevenaar, Tom; Kelkboom, Emile; Busch, Christoph; Veen, Michiel van der; Nouak, Alexander2D Face images are traditionally used in civil governmental applications. An extension from 2D to 3D images will lead to several advantages when setting up automated authentication systems. However, privacy concerns of storing face images on smart cards or in databases will inhibit the acceptance of such systems. In this paper we concentrate on privacy enhancing technologies for biometric information where we focus on 3D face images. The feature vectors are obtained using a histogram-based approach and the privacy protected templates are generated based on fuzzy extractors. It is shown that the private face recognition system has an acceptable verification per- formance. Finally, it is described how the proposed system can be used in the setting of an ePassport.
- KonferenzbeitragA reference framework for the privacy assessment of keyless biometric template protection systems(BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures, 2010) Kevenaar, Tom; Korte, Ulrike; Merkle, Johannes; Niesing, Matthias; Ihmor, Heinrich; Busch, Christoph; Zhou, XuebingOver the past decades, a number of methods have been reported in the scientific literature to protect the privacy of biometric information stored in biometric systems. Keyless Biometric Template Protection (KBTP) methods aim to protect biometric information without the use of long-term secrets by deploying one-way functions. These KBTP methods are currently developed to an extent that commercial products have become available. When assessing and comparing different KBTP methods it is important to have a common and generic approach. Therefore, in this paper we present a reference framework that can be used in assessing and comparing the privacy properties of KBTP systems.
- KonferenzbeitragTemplate protection for biometric gait data(BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures, 2010) Nickel, Claudia; Zhou, Xuebing; Busch, ChristophBiometric gait recognition is a well suited method for authentication on mobile devices as it is unobtrusive and concurrent. Hence, in contrast to PIN authentication it is no extra-effort for the user. The characteristic gait of a subject can be recorded using accelerometers which are nowadays already contained in many mobile devices. From this data biometric feature vectors can be extracted and stored as reference data on the device. Only if the user is not recognized by his walk an active authentication via PIN is necessary. As the number of attacks on mobile devices increases it cannot be assumed that the data stored on the device is under constant control of the subject. Therefore, template protection techniques should be applied to secure biometric data. As biometric gait recognition is a new field of research no specific template protection methods have been developed so far. This paper describes a new method for securing biometric gait features based on histograms and using the earth mover's distance for comparison. The method is tested with gait data of 48 subjects recorded using a mobile phone and the results are compared to the ones obtained without template protection.
- KonferenzbeitragVideo perceptual hashing using interframe similarity(Sicherheit 2006, Sicherheit – Schutz und Zuverlässigkeit, 2006) Zhou, Xuebing; Schmucker, Martin; Brown, Christopher L.