Interested in doing research in computer forensics? Looking for a master's topic, or just some ideas for a research paper? Here is our list. Please feel free to add your own ideas.
Many of these would make a nice master's project.
- Rewrite SleuthKit sorter in C++ to make it faster and more flexible.
- Modify tcpflow's iptree.h implementation so that it only stores discriminating bit prefixes in the tree, similar to D. J. Bernstein's Crit-bit trees.
- Determine why tcpflow's iptree.h implementation's prune works differently when caching is enabled then when it is disabled
Medium-Sized Non-Programming Projects
Digital Forensics Education
- Survey existing DFE programs and DF practitioners regarding which tools they use. Report if the tools being taught are the same as the tools that are being used.
Medium-Sized Development Projects
Forensic File Viewer
- Create a program that visualizes the contents of a file, sort of like hexedit, but with other features:
- Automatically pull out the strings
- Show histogram
- Detect crypto and/or stenography.
- Extend SleuthKit's fiwalk to report the NTFS alternative data streams.
- Create a method to detect NTFS-compressed cluster blocks on a disk (RAW data stream). A method could be to write a generic signature to detect the beginning of NTFS-compressed file segments on a disk. This method is useful in carving and scanning for textual strings.
- Write a FUSE-based mounter for SleuthKit, so that disk images can be forensically mounted using TSK.
- Modify SleuthKit's API so that the physical location on disk of compressed files can be learned.
- A pluggable rule-based system that can detect the residual data or other remnants of running a variety of anti-forensics software
Develop a new carver with a plug-in architecture and support for fragment reassembly carving. Take a look at:
- Carver 2.0 Planning Page
- (Rainer Poisel') Multimedia File Carver, which allows for the reassembly of multimedia fragmented files.
- Logfile correlation
- Document identity identification
- Correlation between stored data and intercept data
- Online Social Network Analysis
Data Snarfing/Web Scraping
- Find and download in a forensically secure manner all of the information in a social network (e.g. Facebook, LinkedIn, etc.) associated with a targeted individual.
- Determine who is searching for a targeted individual. This might be done with a honeypot, or documents with a tracking device in them, or some kind of covert Facebook App.
- Automated grouping/annotation of low-level events, e.g. access-time, log-file entry, to higher-level events, e.g. program start, login
- Mapping differences and similarities in multiple versions of a system, e.g. those created by Windows Shadow Volumes but not limited to
- Write a new timeline viewer that supports Logfile fusion (with offsets) and provides the ability to view the logfile in the frequency domain.
Enhancements for Guidance Softwaren's Encase
- Develop an EnScript that allows you to script EnCase from Python. (You can do this because EnScripts can run arbitrary DLLs. The EnScript calls the DLL. Each "return" from the DLL is a specific EnCase command to execute. The EnScript then re-enters the DLL.)
- Reverse the on-disk structure of the Extensible Storage Engine (ESE) Database File (EDB) format to learn:
- Fill in the missing information about older ESE databases
- Exchange EDB (MAPI database), STM
- Active Directory (Active Directory working document available on request)
- Reverse the on-disk structure of the Lotus Notes Storage Facility (NSF)
- Reverse the on-disk structure of Microsoft SQL Server databases
Volume/File System analysis
- Analysis of inter snapshot changes in Windows Shadow Volumes
- Modify SleuthKit's NTFS implementation to support NTFS encrypted files (EFS)
- Extend SleuthKit's implementation of NTFS to cover Transaction NTFS (TxF) (see NTFS)
- Physical layer access to flash storage (requires reverse-engineering proprietary APIs for flash USB and SSD storage.)
- Add support to SleuthKit for ReFS.
- Develop improved techniques for identifying encrypted data. (It's especially important to distinguish encrypted data from compressed data).
- Quantify the error rate of different forensic tools and processes. Are these rates theoretical or implementation dependent? What is the interaction of the error rates and the Daubert standard?
These are research areas that could easily grow into a PhD thesis.
- General-purpose detection of:
- Sanitization attempts
- Evidence Falsification (perhaps through inconsistency in file system allocations, application data allocation, and log file analysis.
- Visualization of data/information in digital forensic context
- SWOT of current visualization techniques in forensic tools; improvements; feasibility of 3D representation;