Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)


The research lab Computer Science 1 performs research in many areas of applied IT security (fundamental and systems research).

The research lab was established in 2010 and consists of a small set of more focussed research groups lead by postdoctoral researchers or professors.

Martensstraße 3
91058 Erlangen

Related Project(s)

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FIDI: Verbundvorhaben „Intelligente Datenanalyse für die IT-Forensik“ Teilprojekt „Erstellung und Extraktion von digitalen Spuren auf Android und Windows Geräten“
Prof. Dr.-Ing. Felix Freiling
(01/02/2018 - 31/01/2021)

Softwarebasierte Härtungsmaßnahmen für mobile Applikationen: Softwarebasierte Härtungsmaßnahmen für mobile Applikationen
Prof. Dr.-Ing. Felix Freiling; Prof. Dr. Dirk Riehle
(01/11/2016 - 31/10/2019)

(Detektion maliziöser Systemzustände, Visualisierung, forensische Aufbereitung und Meldung von Sicherheitsvorfällen):
DINGFEST: FAITH Forensic Analysis In The Hypervisor
Prof. Dr.-Ing. Felix Freiling
(01/06/2016 - 31/05/2019)

DISPARITY: Digital, Semantic and Physical Analysis of Media Integrity
Prof. Dr.-Ing. Andreas Maier; Dr.-Ing. Christian Riess
(24/05/2016 - 23/05/2017)

Bildforensik: Analyse der digitalen Integrität von Bildern und Videos
Dr.-Ing. Christian Riess; Prof. Dr. Marc Stamminger

Publications (Download BibTeX)

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Bopp, J., Ludwig, V., Seifert, M., Pelzer, G., Maier, A., Anton, G., & Riess, C. (2019). Simulation study on X-ray phase contrast imaging with dual-phase gratings. International Journal of Computer Assisted Radiology and Surgery, 14(1), 3-10. https://dx.doi.org/10.1007/s11548-018-1872-x
Armknecht, F., Benenson, Z., Morgner, P., Müller, C., & Riess, C. (2019). Privacy implications of room climate data. Journal of Computer Security, 27(1), 113-136. https://dx.doi.org/10.3233/JCS-181133
Lorch, B., & Riess, C. (2019). Image Forensics from Chroma Subsampling of High-Quality JPEG Images. In Proceedings of the ACM Workshop on Information Hiding and Multimedia Security. Paris, FR.
Hadwiger, B., Baracchi, D., Piva, A., & Riess, C. (2019). Towards learned color representations for image splicing detection. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. Brighton, GB.
Reinfelder, L., Landwirth, R., & Benenson, Z. (2019). Security Managers Are Not the Enemy Either. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. (pp. 1-7). ACM.
Mullan, P., Rieß, C., & Freiling, F. (2019). Forensic Source Identification using JPEG Image Headers: The Case of Smartphones. In Digital Investigation. Oslo, NO.
Mullan, P., Riess, C., & Freiling, F. (2019). Forensic source identification using JPEG image headers: The case of smartphones. Digital Investigation, 28, S68-S76. https://dx.doi.org/10.1016/j.diin.2019.01.016
Bove, D., & Kalysch, A. (2019). In pursuit of a secure UI: The cycle of breaking and fixing Android’s UI. it - Information Technology, Methods and Applications of Informatics and Information Technology. https://dx.doi.org/10.1515/itit-2018-0023
Felsner, L., Hu, S., Ludwig, V., Anton, G., Maier, A., & Rieß, C. (2019). On the Characteristics of Helical 3-D X-ray Dark-field Imaging. In Proceedings of the Bildverarbeitung für die Medizin (BVM 2019) (pp. 264-269). Lübeck.
Schiller, J., Freiling, F., Benenson, Z., & Massonne, W. (2019). Berufsbegleitendes Studieren an Universitäten - Ein Zukunftsfeld für die IT-Sicherheit. Informatik-Spektrum, 42(1), 38-47. https://dx.doi.org/10.1007/s00287-019-01145-6
Lorch, B., Agarwal, S., & Farid, H. (2019). Forensic Reconstruction of Severely Degraded License Plates. In Society for Imaging Science & Technology (Eds.), Electronic Imaging. Burlingame, CA, US.
Roessler, A., Cozzolino, D., Verdoliva, L., Rieß, C., Thies, J., & Niessner, M. (2019). FaceForensics++: Learning to Detect Manipulated Facial Images.
Prokosch, H.-U., Schüttler, C., Schraudt, M., Öfelein, M., & Maier, C. (2019). Digital patient communication: Improving the hospital-patient relationship. In Healthcare of the Future - Bridging the Information Gap. (pp. 3-9). IOS Press.
Prechtel, D., Groß, T., & Müller, T. (2019). Evaluating Spread of 'Gasless Send' in Ethereum Smart Contracts. In IEEE (Eds.), 10th IFIP International Conference on New Technologies, Mobility & Security (NTMS 2019). 1 Calle Mar Mediterráneo, Maspalomas, Gran Canaria, 35100, Spain, ES.
Matern, F., Riess, C., & Stamminger, M. (2019). Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations. In IEEE Workshop on Applications in Computer Vision (pp. 83-92). Waikoloa Village, HI, US: IEEE.
Latzo, T., Palutke, R., & Freiling, F. (2019). A universal taxonomy and survey of forensic memory acquisition techniques. Digital Investigation, 28, 56-69. https://dx.doi.org/10.1016/j.diin.2019.01.001
Haupert, V., & Gabert, S. (2019). How to Attack PSD2 Internet Banking. In Financial Cryptography and Data Security 2019. Saint Peter Basseterre, KN: Cham, Switzerland: Springer International Publishing.
Cozzolino, D., Thies, J., Roessler, A., Riess, C., Niessner, M., & Verdoliva, L. (2018). ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.
Kalysch, A., Bove, D., & Müller, T. (2018). How Android’s UI Security is Undermined by Accessibility. In Proceedings of the 2nd Reversing and Offensive-oriented Trends Symposium (pp. 2:1--2:10). Vienna, AT: New York, NY, USA: ACM International Conference Proceedings Series (ICPS).
Kraus, M., & Haupert, V. (2018). The Swift Language from a Reverse Engineering Perspective. In Proceedings of the 2nd Reversing and Offensive-oriented Trends Symposium. Vienna, AT: New York, NY, USA: ACM International Conference Proceedings Series (ICPS).

Last updated on 2019-24-04 at 10:22