Project

MoNA

The Mobile Network Analyzer

With MoNA, we present a platform for analysing mobile communication developed at Mittweida University of Applied Sciences in collaboration with various LEAs. MoNA integrates highly specialised AI services to support deep semantic analysis of communications across different channels and involving different modalities, such as video, images, audio, etc. The aim is to reduce the investigator’s effort in searching for evidential information in networks. The core services such as Topic Modeling, Term Tree (Contextual Pattern Matcher), Author Profiling or Search Term Recommender are completely unsupervised, i.e. the analysis is based solely on data and no additional training is required.

Semantic Media Analysis

Semantic Media Analysis

Term Tree with Semantic Dictionaries

Term Tree with Semantic Dictionaries

Conversation Reduction via Topic Modeling

Conversation Reduction via Topic Modeling

Advanced Search Support

Advanced Search Support

  • M. Spranger, F. Heinke, L. Appelt, M. Puder, and D. Labudde, ‘MoNA: Automated Identification of Evidence in Forensic Short Messages’, International Journal On Advances in Security, vol. 9, no. 1 & 2, pp. 14–24, 2016.
  • M. Spranger, J. Xi, L. Jaeckel, J. Felser, and D. Labudde, ‘MoNA: A Forensic Analysis Platform for Mobile Communication’, KI - Künstliche Intelligenz, vol. 36, no. 2, pp. 163–169, 2022, doi: 10.1007/s13218-022-00762-w.
  • J. Felser, J. Xi, C. Demus, D. Labudde, and M. Spranger, ‘Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis’, INFORMATIK 2022 - Informatik in den Naturwissenschaften, vol. P326, 2022, doi: 10.18420/INF2022_02.
  • Jenny Felser, Dirk Labudde, and Michael Spranger, ‘Towards Hypothesis-driven Forensic Text Exploration System’, presented at the The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, Valencia (Spain), Nov. 2023, pp. 42–47.
  • J. Felser and M. Spranger, ‘Semi-supervised topic modelling as a tool for hypothesis-driven forensic communication analysis’, 2024, doi: 10.18420/INF2024_22.
  • J. Xi, M. Siegel, D. Labudde, and M. Spranger, ‘Towards a joint semantic analysis in mobile forensics environments’, Forensic Science International: Digital Investigation, vol. 52, p. 301846, Mar. 2025, doi: 10.1016/j.fsidi.2024.301846.