TY  - THES
A1  - Lunemann, Carolin
T1  - Quantum cryptography : security analysis of multiuser quantum communication with embedded authentication
N2  - Three quantum cryptographic protocols of multiuser quantum networks with embedded authentication, allowing quantum key distribution or quantum direct communication, are discussed in this work. The security of the protocols against different types of attacks is analysed with a focus on various impersonation attacks and the man-in-the-middle attack. On the basis of the security analyses several improvements are suggested and implemented in order to adjust the investigated vulnerabilities. Furthermore, the impact of the eavesdropping test procedure on impersonation attacks is outlined. The framework of a general eavesdropping test is proposed to provide additional protection against security risks in impersonation attacks.
N2  - In der Diplomarbeit werden drei verschiedene quantenkryptographische Protokolle mit dem Schwerpunkt auf authentifizierten Quantennetzwerken analysiert. Die Sicherheit der Protokolle gegenüber verschiedenen Angriffen wird untersucht, wobei der Fokus auf kompletten Personifikationsattacken („impersonation attacks“) liegt. Auf Basis der Sicherheitsanalyse und den Netzwerkanforderungen werden entsprechende Verbesserungen vorgeschlagen. Um die Gefahr von Personifikationen realistisch abschätzen zu können, wird außerdem der Einfluss des Testablaufs analysiert. Um zusätzlichen Schutz gegen Personifikationsattacken zu gewährleisten, werden die Rahmenbedingungen für eine allgemeine Testspezifikation festgelegt.
KW  - Kryptographie
KW  - Quantenkryptographie
KW  - Authentifizierung
KW  - Netzwerk
KW  - cryptography
KW  - quantum cryptography
KW  - authentication
KW  - multiuser
KW  - network
Y1  - 2006
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-12756
ER  - 
TY  - GEN
A1  - Klieme, Eric
A1  - Tietz, Christian
A1  - Meinel, Christoph
T1  - Beware of SMOMBIES
BT  - Verification of Users based on Activities while Walking
T2  - The 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2018)/the 12th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2018)
N2  - Several research evaluated the user's style of walking for the verification of a claimed identity and showed high authentication accuracies in many settings. In this paper we present a system that successfully verifies a user's identity based on many real world smartphone placements and yet not regarded interactions while walking. Our contribution is the distinction of all considered activities into three distinct subsets and a specific one-class Support Vector Machine per subset. Using sensor data of 30 participants collected in a semi-supervised study approach, we prove that unsupervised verification is possible with very low false-acceptance and false-rejection rates. We furthermore show that these subsets can be distinguished with a high accuracy and demonstrate that this system can be deployed on off-the-shelf smartphones.
KW  - gait
KW  - authentication
KW  - smartphone
KW  - activities
KW  - verification
KW  - behavioral
KW  - continuous
Y1  - 2018
SN  - 978-1-5386-4387-7
SN  - 978-1-5386-4389-1
U6  - https://doi.org/10.1109/TrustCom/BigDataSE.2018.00096
SN  - 2324-9013
SP  - 651
EP  - 660
PB  - IEEE
CY  - New York
ER  -