• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
IT Security Infrastructures Lab
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Faculty of Engineering
  3. Department Computer Science
  • Campo
  • UnivIS
  • Jobs
  • Map
  • Help
  1. Friedrich-Alexander-Universität
  2. Faculty of Engineering
  3. Department Computer Science

IT Security Infrastructures Lab

Navigation Navigation close
  • Research
    • Forensic Computing Group
    • Human Factors in Security and Privacy Group
    • Multimedia Security
    • Security Education Development Group
    • System Security Group
    • Archive
    • Funded Projects
    • Publications
    Portal Research
  • Lab
    • Staff & Research Groups
    • Alumni
    • Partners
    Portal Lab
  • Teaching
    • Courses
    • Hinweise zu den Lehrveranstaltungen
    • Notes on Examinations
    • eTeaching
    • Theses
    • Writing a Thesis at Informatik 1
    Portal Teaching
  • How to reach us
  1. Home
  2. Research
  3. Forensic Computing Group

Forensic Computing Group

In page navigation: Research
  • Forensic Computing Group
    • DiOS: Dynamic Privacy Analysis of iOS Applications
    • Fingerprinting Mobile Devices Using Personalized Configurations
    • Selective Deletion
  • Human Factors in Security and Privacy Group
    • Antivirus Usability
    • Browser Fingerprinting
    • IoT Security Update Labels
    • Phishing Susceptibility
    • Security Experts
    • ZigBee Security Research
  • Multimedia Security
    • Image & Video Forensics
    • Image Analysis & Enhancement
    • X-ray Phase Contrast
    • Blog
    • Code and Data
      • Copy-Move Forgery Detectors and Ground Truth Generator
      • Image Manipulation Dataset
    • Colloquium
  • Security Education Development Group
    • Open C3S Overview
    • Open-C3S-Projektergebnisse
    • Ulix – a Literate OS
  • System Security Group
    • AppAuth: On App-based Matrix Code Authentication in Online Banking
    • AppTAN (In)Security: (In)Security of App-based TAN Methods in Online Banking
    • AVX Crypto: AVX Instructions to Accelerate Crypto Primitives
    • Bispe: A Bytecode Interpreter for Secure Program Execution in Untrusted Main Memory
    • Centroid
    • CPU-bound Encryption (TRESOR, TreVisor, ARMORED)
    • FROST: Forensic Recovery Of Scrambled Telephones
    • How Android’s UI Security is Undermined by Accessibility
    • HyperCrypt: Hypervisor-based Encryption of Kernel and User Space
    • N26
    • Nomorp
    • One Key to Rule Them All: Recovering the Master Key from RAM to break Android’s File-Based Encryption
    • RamCrypt: Kernel-based Address Space Encryption for User-mode Processes
    • ReFuzz — Structure Aware Fuzzing of the Resilient File System (ReFS)
    • RISCoT – Security Analysis of Trusted Execution Environments on RISC-V
    • SED (In)Security: Hardware-based Full Disk Encryption (In)Security
    • SGX-Kernel: Isolating Operating System Components with Intel SGX
    • SGX-Timing: Cache Attacks on Intel SGX
    • SoK: The Evolution of Trusted UI on Mobile
    • Soteria: Offline Software Protection within Low-cost Embedded Devices
    • STARK / MARK: Tamperproof/Mutual Authentication to Resist Keylogging
    • TEEshift: Protecting Code Confidentiality by Selectively Shifting Functions into TEEs
    • VMAttack: Deobfuscating Virtualization-Based Packed Binaries
  • Archive
    • ContrOWL: A new security app based on crowed intelligence
    • Ext4 File Recovery
    • Forensic Email Visualization
    • Forensic RAID Recovery
    • Forensig²: File System Images for Training Courses in Forensic Computing
    • Mobile Hotspots
    • Mobile-Sandbox & ADEL: Automated Malware Analyses / Mobile Phone Forensics
    • Privacy Aspects of Forensic Computing
    • PyBox – A Python Sandbox
    • TrustedPals: Framework to Help Establish Security in a Mutually Untrusted Distributed System
    • VirMA: Windows NT pagefile.sys Virtual Memory Analysis
    • Win Vista/7/8/10 Thumbnails Analyzer
  • Funded Projects
  • Publications
    • Technische Berichte in Digitaler Forensik

Forensic Computing Group

Felix Freiling

Prof. Dr.-Ing. Felix Freiling

Chairholder

Department of Computer Science
Chair of Computer Science 1 (IT Security Infrastructures)

Room: Room 12.159
Martensstr. 3
91058 Erlangen
  • Phone number: +4991318569901
  • Email: felix.freiling@fau.de
  • Website: http://www1.informatik.uni-erlangen.de/staff/freiling

Office hours

Each week Mo, 16:00 - 17:00, Room 12.159, während der Vorlesungszeit - Termin vorher mit dem Sekretariat Tel. +49 9131 85-69900 vereinbaren

Forensic computing is a branch of forensic science pertaining to digital evidence, i. e., any legal evidence that is
processed by digital computer systems or stored on digital storage media. Forensic computing naturally evolves within the intersection of several established research areas such as computer science, computer engineering and law, and it can build upon both the established research results in these felds as well as the rigorous scientifc research methods that have been developed.

Overall, the nature of digital evidence (e. g., the possibility to make perfect copies) makes it hard to transfer legal notions and intuitions (e.g., of authenticity and integrity) from non-digital evidence. Therefore, forensic computing poses many technical and legal challenges. For example, the tendencies towards “proactive forensics” in modern societies manifest themselves in complex technical surveillance systems (like those based on large sensor structures or “big data”) and have profound (also legal) effects on data protection and privacy. Another relevant aspect are performance enhancements of operating systems or applications (like the use of caches or re-use of memory blocks) which usually amplify the amount of traces left by user interaction.

The lab’s forensic computing group is a forum for research in all of these areas. We perform fundamental and practical research and teaching in evidence acquisition, main memory and file system analysis, automatic event reconstruction, effects of forensic computing on fundamental rights and other relations of techniques in computer science to criminal law and criminal procedural law.

We actively coorperate with the international research community, especially in the context of DFRWS and the IMF conferences.

Lehrstuhl für Informatik 1
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Martensstrasse 3
91058 Erlangen
  • Impressum
  • Datenschutz
Up