Management Digitaler Identitäten : Aktueller Status Und Zukünftige Trends

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Management Digitaler Identitäten : Aktueller Status Und Zukünftige Trends Management Digitaler Identitäten: Aktueller Status und zukünftige Trends Christian Tietz, Chris Pelchen, Christoph Meinel, Maxim Schnjakin Technische Berichte Nr. 114 des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam ISBN 978-3-86956-395-4 ISSN 1613-5652 Technische Berichte des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam Technische Berichte des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam | 114 Christian Tietz | Chris Pelchen | Christoph Meinel | Maxim Schnjakin Management Digitaler Identitäten Aktueller Status und zukünftige Trends Universitätsverlag Potsdam Bibliografische Information der Deutschen Nationalbibliothek Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografie; detaillierte bibliografische Daten sind im Internet über http://dnb.dnb.de/ abrufbar. Universitätsverlag Potsdam 2017 http://verlag.ub.uni-potsdam.de/ Am Neuen Palais 10, 14469 Potsdam Tel.: +49 (0)331 977 2533 / Fax: 2292 E-Mail: [email protected] Die Schriftenreihe Technische Berichte des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam wird herausgegeben von den Professoren des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam. ISSN (print) 1613-5652 ISSN (online) 2191-1665 Das Manuskript ist urheberrechtlich geschützt. Online veröffentlicht auf dem Publikationsserver der Universität Potsdam URN urn:nbn:de:kobv:517-opus4-103164 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-103164 Zugleich gedruckt erschienen im Universitätsverlag Potsdam: ISBN 978-3-86956-395-4 Um den zunehmenden Diebstahl digitaler Identitäten zu bekämpfen, gibt es bereits mehr als ein Dutzend Technologien. Sie sind, vor allem bei der Authenti- fizierung per Passwort, mit spezifischen Nachteilen behaftet, haben andererseits aber auch jeweils besondere Vorteile. Wie solche Kommunikationsstandards und -protokolle wirkungsvoll miteinander kombiniert werden können, um dadurch mehr Sicherheit zu erreichen, haben die Autoren dieser Studie analysiert. Sie spre- chen sich für neuartige Identitätsmanagement-Systeme aus, die sich flexibel auf verschiedene Rollen eines einzelnen Nutzers einstellen können und bequemer zu nutzen sind als bisherige Verfahren. Als ersten Schritt auf dem Weg hin zu einer solchen Identitätsmanagement-Plattform beschreiben sie die Möglichkeiten einer Analyse, die sich auf das individuelle Verhalten eines Nutzers oder einer Sache stützt. Ausgewertet werden dabei Sensordaten mobiler Geräte, welche die Nutzer häu- fig bei sich tragen und umfassend einsetzen, also z.B. internetfähige Mobiltelefone, Fitness-Tracker und Smart Watches. Die Wissenschaftler beschreiben, wie solche Kleincomputer allein z.B. anhand der Analyse von Bewegungsmustern, Positions- und Netzverbindungsdaten kontinuierlich ein „Vertrauens-Niveau“ errechnen kön- nen. Mit diesem ermittelten „Trust Level“ kann jedes Gerät ständig die Wahrschein- lichkeit angeben, mit der sein aktueller Benutzer auch der tatsächliche Besitzer ist, dessen typische Verhaltensmuster es genauestens „kennt“. Wenn der aktuelle Wert des Vertrauens-Niveaus (nicht aber die biometrischen Einzeldaten) an eine externe Instanz wie einen Identitätsprovider übermittelt wird, kann dieser das Trust Level allen Diensten bereitstellen, welche der Anwender nutzt und darüber informieren will. Jeder Dienst ist in der Lage, selbst festzulegen, von welchem Vertrauens-Niveau an er einen Nutzer als authentifiziert ansieht. Erfährt er von einem unter das Limit gesunkenen Trust Level, kann der Identitätsprovider seine Nutzung und die anderer Services verweigern. Die besonderen Vorteile dieses Identitätsmanagement-Ansatzes liegen darin, dass er keine spezifische und teure Hardware benötigt, um spezifische Daten auszuwerten, sondern lediglich Smartphones und so genannte Wearables. Selbst Dinge wie Maschinen, die Daten über ihr eigenes Verhalten per Sensor-Chip ins Internet funken, können einbezogen werden. Die Daten werden kontinuierlich im Hintergrund erhoben, ohne dass sich jemand darum kümmern muss. Sie sind nur für die Berechnung eines Wahrscheinlichkeits-Messwerts von Belang und verlassen niemals das Gerät. Meldet sich ein Internetnutzer bei einem Dienst an, muss er sich nicht zunächst an ein vorher festgelegtes Geheimnis – z.B. ein Passwort – erinnern, sondern braucht nur die Weitergabe seines aktuellen Vertrauens-Wertes mit einem „OK“ freizugeben. Ändert sich das Nutzungsverhalten – etwa durch andere Bewegungen oder an- dere Orte des Einloggens ins Internet als die üblichen – wird dies schnell erkannt. Unbefugten kann dann sofort der Zugang zum Smartphone oder zu Internetdien- sten gesperrt werden. Künftig kann die Auswertung von Verhaltens-Faktoren noch erweitert werden, indem z.B. Routinen an Werktagen, an Wochenenden oder im Urlaub erfasst werden. Der Vergleich mit den live erhobenen Daten zeigt dann 5 an, ob das Verhalten in das übliche Muster passt, der Benutzer also mit höchster Wahrscheinlichkeit auch der ausgewiesene Besitzer des Geräts ist. Über die Techniken des Managements digitaler Identitäten und die damit ver- bundenen Herausforderungen gibt diese Studie einen umfassenden Überblick. Sie beschreibt zunächst, welche Arten von Angriffen es gibt, durch die digitale Identitä- ten gestohlen werden können. Sodann werden die unterschiedlichen Verfahren von Identitätsnachweisen vorgestellt. Schließlich liefert die Studie noch eine zusammen- fassende Übersicht über die 15 wichtigsten Protokolle und technischen Standards für die Kommunikation zwischen den drei beteiligten Akteuren: Service Provi- der/Dienstanbieter, Identitätsprovider und Nutzer. Abschließend wird aktuelle Forschung des Hasso-Plattner-Instituts zum Identitätsmanagement vorgestellt. 6 To prevent the increasing number of identity thefts, more than a douzend technologies are already existing. They have, especially then authentication with passwords, specific disadvantages or advantages, respectively. The authors of this survey analyzed how to combine these communication standards and protocols to provide more security. They recommend new kinds of identity management systems that are flexible for different user roles and are more convenient to use as the existing systems. As a first step to build such an identity management platform the authors describe how to analyze and use the individual behavior of users or objects. As a result sensor data of mobile devices are analyzed. Such devices are internet- ready mobiles, fitness tracker and smart watches. Therefore devices that users often carry with them. The researchers describe how these little computers can continously analyze movement patterns, data of location and connected networks and compute a trust level from the data. With this trust level, a device can indicate the probability that the current user is the actual owner, because it knows the behavioral patterns of the owner. If the current trust level value (not single biometric data) is send to an external entity like an identity provider, this provider can provide the trust level to all services used by the user. Each service is able to decide which trust level value is necessary for user authentication. If the trust level drops under a this specific threshold the identity provider can deny the access to itself and all other services. The particular advantages of this identity management approach is that no special and expensive hardware is needed but instead smartphone and wearables to evaluate the specific data. Even objects like machines that send data of their own behavior to the internet can be used. The data is continously collected in the background so users do not need to care about it. The data is only used for computing the trust level and never leaves the device. If a user logs into an internet service he does not need to remember a secret anymore, e. g. a password, instead he just needs to give an OK to pass on the trust level. If the user behavior is changing, for example by different movement patterns or unknown or new locations when trying to log into a web services, it can be immediately detected and the access to the smartphone or internet services an be locked for the unauthorized person. In future the evaluation can be extended for example with detecting routines on working days, on weekends or on vacations. The comparisons of learned routines with live data will show if the behavior fits into the usual patterns. This survey gives a comprehensive overview of techniques in digital identity management and the related challenges. First, it describes different kinds of attack methods which attacker uses to steal digital identities. Then possible authentication methods are presented. Eventually a summary of the 15 most important protocols and technical standards for communication between the three involved players: ser- vice provider, identity provider and user. Finally, it introduces the current research of the Hasso-Plattner Institute in the area of identity management. 7 Inhaltsverzeichnis 1 Einleitung 11 1.1 Aufbau der Studie . 13 1.2 Digitale Identität . 13 1.3 Ansätze des Identitätsmanagements . 14 1.4 Identitätsmanagement für mehrere Anwendungszwecke . 16 2 Angriffe auf Identitätsdaten 18 3 Methoden der Authentifikation 21 3.1 Authentifizieren durch Wissen . 21 3.2 Authentifizieren durch Besitz . 23 3.3 Authentifizieren durch Biometrie . 24 3.4 Kombinationen der Authentifikations-Methoden . 25 4 Technologien, Protokolle und Standards 27 4.1 Kerberos . 28 4.2 Public-Key
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