Open Source Forensics
Study plans 2016-2017
-
IMT4012-PHS
- 10 ECTS
On the basis of
NCFI2 or similar, see admisson criteria for MISEB studyprogram, courses delivered by PHS
Expected learning outcomes
Knowledge
- After completing the course the candidate possesses knowledge of:
- The importance of open source software in the investigation
- New methods and techniques used in the investigation
- Legal and ethical issues
- Automation of techniques
- The benefit of being able to customize the tool in relation to specific challenges
Skills
- After completing the course the candidate can:
- Utilize the potential of tools written in open source
- Master command interpreters
- Assess tools for adapting to different situations
- Develop Open source tools for efficient investigation within the rule of law
- Understand scripts written by others and adapt them to your context
- Validate proprietary and open tools
General Competence
- After completing the course the candidate can:
- Emerge with greater insight and confidence in the professional role
- Show personal responsibility for tasks in the investigation of electronic tracking
- Identify and evaluate ethical dilemmas in work performance
- See a record in a bigger prevention and investigation purposes
Topic(s)
- Linux operating system, commands, and tools
- Linux filesystem and forensic artifacts
- Scripting and programming for investigators
- Building own forensic toolkit applications
- Forensic tool testing and quality assurance
- Linux analysis and data recovery techniques
- Investigation and forensic analysis
- Law and ethics
- Crime prevention policing
Teaching Methods
Lectures
E-learning
Mandatory assignments
Other
Teaching Methods (additional text)
Lectures and exercises delivered by PHS, through PHS´s digital learning system (It´s Learning/PingPong)
Other: Independent study
The course will be made accessible for remote students. It is organized as a web-based, online course where students can choose their own study time and follow their progress. The program is estimated to be approx. 280 hours.
In the course student-centered learning activities on the internet are emphasized, including 10 online, on-demand lectures and the use of a virtual computer lab. The learning activities shall contribute to the learning outcome of the students, and in particular emphasize the relationship between theory and practice.
In this course, students will build their forensic toolkit from scratch, which also takes place in a virtual environment. Throughout the course students will construct their forensic toolkit gradually and end with a complete machine that is specially adapted to needs of a digital forensic investigator. Students will be guided through the various required steps in the process.
A distributed online learning platform at NTNU and the Norwegian Police University College is used in the administration and implementation of the course.
Form(s) of Assessment
Other
Form(s) of Assessment (additional text)
Assessment consists of two parts, pass decision is on cumulative grade of both parts:
- Individual home exam over 8 hours (50%)
- Assessment of the student configuration of its own laptop computer (50%)
Both parts must be passed.
Grading Scale
Alphabetical Scale, A(best) – F (fail)
External/internal examiner
External examiner (1 or 2). Assessment by PHS.
Re-sit examination
At the discression of PHS.
A new computer installation must be provided and the examination must be re-sat.
Examination support
Dictionary
Coursework Requirements
The following course requirements must be met and approved before students can take the exam:
- Up to three tests related to specific topics
Teaching Materials
The following textbooks are the primary material in the course curriculum.
- Altheide, C. & Carvey, H. (2011). Digital Forensics with Open Source Tools. Waltham, MA: Syngress
- Cameron, N. (2005). Learning the bash Shell: Unix Shell Programming. Sebastopol: O'Reilly Media
Additional information
This course is delivered by PHS (Politihøgskolen).
Only available to students in the MISEB studyprogram (Experience based master in Information Security), track Digital Forensics and Cybercrime Investigation.