2025W

• Foundations of System and Application Security / 192.044 / VU

• Comparing Apples to Androids: Discovery, Retrieval, and Matching of iOS and Android Apps for Cross-Platform Analyses / Steinböck, M., Bleier, J., Rainer, M., Urban, T., Utz, C., & Lindorfer, M. (2024). Comparing Apples to Androids: Discovery, Retrieval, and Matching of iOS and Android Apps for Cross-Platform Analyses. In MSR ’24: Proceedings of the 21st International Conference on Mining Software Repositories (pp. 348–360). https://doi.org/10.1145/3643991.3644896
  Download: PDF (780 KB)
  Projects: IoTIO (2020–2025) / W4MP (2023–2027)
• Of Ahead Time: Evaluating Disassembly of Android Apps Compiled to Binary OATs Through the ART / Bleier, J., & Lindorfer, M. (2023). Of Ahead Time: Evaluating Disassembly of Android Apps Compiled to Binary OATs Through the ART. In J. Polakis & E. van der Kouwe (Eds.), EUROSEC ’23: Proceedings of the 16th European Workshop on System Security (pp. 21–29). https://doi.org/10.1145/3578357.3591219
  Download: PDF (2.39 MB)
  Projects: IoTIO (2020–2025) / SPFBT (2020–2026)
• Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem / Hageman, K., Feal, A., Gamba, J., Girish, A., Bleier, J., Lindorfer, M., Tapiador, J., & Vallina-Rodriguez, N. (2023). Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem. IEEE Transactions on Software Engineering, 49(4), 2964–2979. https://doi.org/10.34726/5296
  Download: PDF (3.29 MB)
  Projects: IoTIO (2020–2025) / SPFBT (2020–2026)
• No Spring Chicken: Quantifying the Lifespan of Exploits in IoT Malware Using Static and Dynamic Analysis / Al Alsadi, A. A., Sameshima, K., Bleier, J., Yoshioka, K., Lindorfer, M., van Eeten, M., & Hernández Gañán, C. (2022). No Spring Chicken: Quantifying the Lifespan of Exploits in IoT Malware Using Static and Dynamic Analysis. In Yuji Suga, Kouichi Sakurai, Xuhua Ding, & Kazue Sako (Eds.), ASIA CCS ’22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security (pp. 309–321). Association for Computing Machinery. https://doi.org/10.1145/3488932.3517408
  Project: IoTIO (2020–2025)
• ART-assisted App Diffing: Defeating Dalvik Bytecode Shrinking, Obfuscation, and Optimization with Android's OAT Compiler / Bleier, J., & Lindorfer, M. (2022, May 23). ART-assisted App Diffing: Defeating Dalvik Bytecode Shrinking, Obfuscation, and Optimization with Android’s OAT Compiler [Poster Presentation]. 43rd IEEE Symposium on Security and Privacy, San Francisco, United States of America (the).
  Project: IoTIO (2020–2025)

• Binary matching of android and iOS apps / Keusch, A. (2025). Binary matching of android and iOS apps [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128603
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• Identifying frameworks in android applications using binary code function similarity / Zeier, Y. (2024). Identifying frameworks in android applications using binary code function similarity [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.117246
  Download: PDF (1.07 MB)
• Tracing android apps based on ART ahead-of-time compilation profiles from Google Play / Burtscher, L. (2022). Tracing android apps based on ART ahead-of-time compilation profiles from Google Play [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.90745
  Download: PDF (1.22 MB)
• Large-scale Static Analysis of PII Leakage in IoT Companion Apps / Schmidt, D. (2021). Large-scale Static Analysis of PII Leakage in IoT Companion Apps [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.86548
  Download: PDF (2.16 MB)
• Detecting neural network functions in binaries based on syntactic features / Aschl, G. (2020). Detecting neural network functions in binaries based on syntactic features [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.66352
  Download: PDF (2.41 MB)