World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6033
World Ranking
11193
National Ranking
563

Overview

Jana Dittmann is affiliated with Otto-von-Guericke University Magdeburg in Germany. Their research is primarily situated within the field of Computer Science, with a total of 61 publications across various subfields.

The main subfields of study for their work include Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems, and Computer Networks and Communications. The scientist's research topics focus on Digital Media Forensic Detection, Adversarial Robustness in Machine Learning, Internet Traffic Analysis and Secure E-voting, Biometric Identification and Security, Anomaly Detection Techniques and Applications, Advanced Steganography and Watermarking Techniques, and Face Recognition and Analysis.

Recent notable publications include:

  • Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features (2021, Journal of Imaging)
  • A Survey on Synthetic Biometrics: Fingerprint, Face, Iris and Vascular Patterns (2023, IEEE Access)
  • Assessment of Hidden Channel Attacks: Targetting Modbus/TCP (2020, IFAC-PapersOnLine)
  • Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake Detection (2024, Journal of Imaging)
  • Forensic data model for artificial intelligence based media forensics - Illustrated on the example of DeepFake detection (2022, Electronic Imaging)

Their frequent coauthors comprise Christian Kraetzer, Claus Vielhauer, Stefan Seidlitz, Andrey Makrushin, and Kevin Lamshöft.

Jana Dittmann has published extensively in the following venues:

  • Electronic Imaging
  • Journal of Imaging
  • EURASIP Journal on Information Security
  • Datenschutz und Datensicherheit - DuD
  • IEEE Access

Best Publications

  • Security threats to automotive CAN networks—Practical examples and selected short-term countermeasures

    Tobias Hoppe;Stefan Kiltz;Jana Dittmann

  • Content-based digital signature for motion pictures authentication and content-fragile watermarking

    J. Dittmann;A. Steinmetz;R. Steinmetz

  • Public automated web-based evaluation service for watermarking schemes: StirMark benchmark

    Fabien A. P. Petitcolas;Martin Steinebach;Frederic Raynal;Jana Dittmann

  • Digital audio forensics: a first practical evaluation on microphone and environment classification

    Christian Kraetzer;Andrea Oermann;Jana Dittmann;Andreas Lang

  • Robust MPEG video watermarking technologies

    Jana Dittmann;Mark Stabenau;Ralf Steinmetz

  • Automatic Generation and Detection of Visually Faultless Facial Morphs

    Andrey Makrushin;Tom Neubert;Jana Dittmann

  • Benchmarking of image watermarking algorithms for digital rights management

    B. Macq;J. Dittmann;E.J. Delp

  • Protecting VoD the easier way

    Carsten Griwodz;Oliver Merkel;Jana Dittmann;Ralf Steinmetz

  • Communications and Multimedia Security

    Bart De Decker;Jana Dittmann;Christian Kraetzer;Claus Vielhauer

  • Microphone Classification Using Fourier Coefficients

    Robert Buchholz;Christian Kraetzer;Jana Dittmann

  • Combining digital watermarks and collusion-secure fingerprints for digital images

    Jana Dittmann;Alexander Behr;Mark Stabenau;Peter Schmitt

  • Mel-cepstrum-based steganalysis for VoIP steganography

    Christian Kraetzer;Jana Dittmann

  • Combining digital watermarks and collusion secure fingerprints for digital images

    Jana Dittmann;Peter Schmitt;Eva Saar;Jo¨rg Schwenk

  • Steganography and steganalysis in voice-over IP scenarios: operational aspects and first experiences with a new steganalysis tool set

    Jana Dittmann;Danny Hesse;Reyk Hillert

  • Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images

    Tom Neubert;Andrey Makrushin;Mario Hildebrandt;Christian Kraetzer

  • Modeling Attacks on Photo-ID Documents and Applying Media Forensics for the Detection of Facial Morphing

    Christian Kraetzer;Andrey Makrushin;Tom Neubert;Mario Hildebrandt

  • Using adapted Levenshtein distance for on-line signature authentication

    S. Schimke;C. Vielhauer;J. Dittmann

  • Design and evaluation of steganography for voice-over-IP

    C. Kratzer;J. Dittmann;T. Vogel;R. Hillert

  • WLAN steganography: a first practical review

    Christian Krätzer;Jana Dittmann;Andreas Lang;Tobias Kühne

  • Using cryptographic and. watermarking algorithms

    J. Dittmann;P. Wohlmacher;K. Nahrstedt

Frequent Co-Authors

Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Ralf Steinmetz
Ralf Steinmetz Technical University of Darmstadt
Nasir Memon
Nasir Memon New York University
Gunter Saake
Gunter Saake Otto-von-Guericke University Magdeburg
Jessica Fridrich
Jessica Fridrich Binghamton University
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Ingemar J. Cox
Ingemar J. Cox University College London
Andreas Uhl
Andreas Uhl University of Salzburg
Ton Kalker
Ton Kalker Hewlett-Packard (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options in computer science can open many doors for students and professionals alike. Flexible and accessible, online programs allow learners to earn valuable credentials and build essential tech skills from anywhere in the world.

Several paths are available depending on your career goals and academic background. If you’re just starting out, online associates programs offer a convenient and cost-effective way to learn core computing concepts and prepare for entry-level roles in IT or software support.

For those looking to advance or specialize, pursuing one of the best masters degree to get in the field, such as data science, cybersecurity, or artificial intelligence, can lead to higher salaries and greater job opportunities.

Cost and admission requirements are also key considerations. Many affordable online colleges help students earn a respected degree without overwhelming debt. Additionally, online schools that accept low gpa make higher education accessible to more learners, regardless of past academic performance.

Best Scientists Citing Jana Dittmann

Trending Scientists

Recently Published Articles