Assessment of 'Modern Tool Usage' Attribute–Computer Forensics, a Case Study

Abstract

forensics is a new and fast growing form of investigative technique in which specialists use modern software tools, to solve digital crime cases. Choosing appropriate tool for solving real-time digital crime cases is the most expected graduate attribute, for those who have opted Computer forensic as an elective course. In this paper we present pedagogy for developing the skill of choosing most appropriate software tool for analyzing and investigating digital crime cases. Assignment activities are designed to develop competencies such as i) Ability to identify, select and apply tool to solve image, audio and video doctored cases. ii) Ability to evaluate the suitability and limitations of the tool used to solve problem. To solve image cases, a tool having the feature of error level analysis and meta data analysis is found to be more appropriate, while for solving audio doctored cases, tool having feature of frequency response analysis as well as difference calculator is found to be more appropriate. In case of video doctored crimes, tools having feature of noise analysis, level sweep, clone detection, and magnification is found to be the most appropriate. Assessment of outcome is carried out by recording attainment of Graduate Attribute (GA), Competency (CA) and Performance Indicators (PI). The skill of identifying, choosing and applying appropriate tool to solve digital crime cases is enhanced among student.