Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Innovative Techniques of Digital Crime Investigation


Affiliations
1 Department of Information Science and Engineering, B.V.B College of Engineering and Technology, Vidyanagar, Hubbali, India
     

   Subscribe/Renew Journal


Computer forensics is a new and fast growing form of investigative technique in which forensic specialist use modern forensic software tools, to solve digital crime cases. Choosing appropriate forensic tool for solving real-time digital crime cases is most expected graduate attribute, for those who have opted "Computer forensic" as an elective course. In this paper we present pedagogy for developing 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 forensic 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 forensic cases, a tool having 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 most appropriate. In case of video doctored crimes, tools having feature of noise analysis, level sweep, clone detection, and magnification is found to be most appropriate. Assessment of outcome is carried out by recording attainment of Graduate Attribute (GA), Competency (CA) and Performance Indicators (PI). Skill of identifying, choosing and applying appropriate forensic tool to solve digital crime cases is observed among student.


Keywords

Cybercrime, Digital Evidence.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Bill Nelson “Guide to Computer Forensics and Investigations”, 4th Edition, CENGAGE Publication. 2009
  • Er Harpreet Singh Dalla ,Ms. Geeta , Cyber Crime – “A Threat to Persons, Property, Government”, ,IJARCSSE , 2013
  • Cybercrime. Retrieved from https://en.wikipedia.org/wiki/(10 June 2016)
  • Guiffy Image Diff Tool. Retrieved from http://www.guiffy.com/Image-Diff-Tool.html (14 May 2016)
  • S. Rashidi , A. Fallah, , F. Towhidkhah, Scientia Iranica, “Feature extraction based DCT on dynamic signature verification” , Volume 19, Issue 6, Pages 1810 - 1819, December 2012
  • Praat Tool. Retrieved from http://www.fon.hum.uva.nl/praat/ (20 May 2016)
  • Truecaller App Retrieved from https://www.truecaller.com/ (25 May 2016)
  • Mobiledit is retrieved from http://www.mobiledit.com/ (26 May 2016)
  • Audio Diffmaker Working. Retrieved from http://www.libinst.com/Audio%20DiffMaker.htm (14 May 2016)

Abstract Views: 287

PDF Views: 0




  • Innovative Techniques of Digital Crime Investigation

Abstract Views: 287  |  PDF Views: 0

Authors

Shrinivas D. Desai
Department of Information Science and Engineering, B.V.B College of Engineering and Technology, Vidyanagar, Hubbali, India
Prashant Narayankar
Department of Information Science and Engineering, B.V.B College of Engineering and Technology, Vidyanagar, Hubbali, India

Abstract


Computer forensics is a new and fast growing form of investigative technique in which forensic specialist use modern forensic software tools, to solve digital crime cases. Choosing appropriate forensic tool for solving real-time digital crime cases is most expected graduate attribute, for those who have opted "Computer forensic" as an elective course. In this paper we present pedagogy for developing 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 forensic 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 forensic cases, a tool having 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 most appropriate. In case of video doctored crimes, tools having feature of noise analysis, level sweep, clone detection, and magnification is found to be most appropriate. Assessment of outcome is carried out by recording attainment of Graduate Attribute (GA), Competency (CA) and Performance Indicators (PI). Skill of identifying, choosing and applying appropriate forensic tool to solve digital crime cases is observed among student.


Keywords


Cybercrime, Digital Evidence.

References





DOI: https://doi.org/10.16920/jeet%2F2016%2Fv0i0%2F111605