Dr.-Ing. Anatoli Kalysch

About

I’m a security researcher in the field of mobile security associated with the IT Security Infrastructures Lab. Prior, I was a research fellow and Ph.D. candidate at Dr.-Ing. Tilo Müller’s System Security and Software Protection group here at the i1 lab. My main interests are authentication, app & backend security, and app hardening.

Research Interests

Machine Learning Approaches:

• Supervised Learning;
• Natural Language Processing;
• Reinforcement Learning;

Mobile Security:

• Application UI Security and Data Leakage;
• Application Packers and Protectors;
• Emulation and Analysis Detection;
• Security of Cross-Compilation Frameworks;

Program Analysis Techniques:

• Taint-tracking;
• Code similarity measures;
• Symbolic execution;
• Fuzzing;

Obfuscation Techniques:

• Virtualization-based Obfuscation;
• Opaque Predicates;

Supervised Student Theses

• (Master’s Thesis) An Empirical Study of Malicious Native Libraries on Android (WiSe2017)
• (Master’s Thesis) Evaluating the Effectiveness of Machine Learning for Android Packer Detection and Classification (WiSe2017)
• (Master’s Thesis) Clickjacking Revised: An Automated Framework for Clickjacking Attacks (SoSe2018)
• (Master’s Thesis) Dismantling On-Device Android Malware Protection (SoSe2018)
• (Bachelor’s Thesis) Android UI-Instrumentation for Malware Analysis and Forensic Trace Generation (WiSe2018)
• (Bachelor’s Thesis) Automated Static Vulnerability Detection for Android Third Party Applications (WiSe2018)
• (Master’s Thesis) Enhancing Malware Analysis Through Automated IR-based Functionality Extraction (WiSe2018)
• (Bachelor’s Thesis) Android Inter-Process Communication Fuzzing (WiSe2018)
• (Master’s Thesis) Opaque Predicate and Junk Code resistant Decompilation (WiSe2018)
• (Master’s Thesis) Automated Entropy-Based Detection of Cryptographic Functions in Binaries (WiSe2018)
• (Master’s Thesis) A Study on Code and Functionality Reuse among Android Mass Malware Families (WiSe2018)
• (Bachelor’s Thesis) Code and Vulnerability Reuse in Android 3rd Party Frameworks and Applications (SoSe2019)
• (Master’s Thesis) Virtualization-Based Android App Obfuscation (SoSe2019)
• (Master’s Thesis) Deep Learning in Automated Vulnerability Assessments for Android Applications (WiSe2019)
• (Master’s Thesis) A Common Baseline for the Comparison of Code Similarity Measures (SoSe2020)