Skip to main content

Carving of Bitmap Files from Digital Evidences by Contiguous File Filtering

  • Conference paper
Recent Trends in Computer Networks and Distributed Systems Security (SNDS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 335))

Abstract

An evidence file is a bit-stream copy of any digital storage media or a hard disk partition. Retrieving files from these evidence files without the intervention of file system is quite challenging as the storage locations where file contents are stored are unknown or the contents of files are unavailable in contiguous storage locations. In addition to this, portion of some of the deleted files might have been overwritten by new files. In this paper, we propose a method to carve bitmap files from evidence files by making use of the presence of slack area in the evidence file. The contiguous file filtering technique proposed in this paper makes the carving of fragmented files easier.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://www.forensicswiki.org/wiki/Carving

  2. Pal, A., Memon, N.: The Evolution of File Carving. IEEE Signal Processing Magazine 26, 59–71 (2009)

    Article  Google Scholar 

  3. Foremost 1.5.7, http://foremost.sourceforge.net/

  4. Shanmugasundaram, K., Memon, N.: Automatic reassembly of document fragments via data compression. Presented at the 2nd Digital Forensics Research Workshop, Syracuse, NY (July 2002)

    Google Scholar 

  5. Carrier, B.: File System Forensic Analysis. Pearson Education, Addison-Wesley Professional, Boston, MA (2005)

    Google Scholar 

  6. Povar, D., Bhadran, V.K.: Forensic Data Carving. In: Baggili, I. (ed.) ICDF2C 2010. LNICST, vol. 53, pp. 137–148. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. Boyre, R.S., Moore, J.S.: A Fast String Searching Algorithm. Communications of the ACM 20(10), 762–772 (1977)

    Article  Google Scholar 

  8. Pal, A.: Automated Reassembly of File Fragmented Images using Greedy Algorithms, Master of Science Thesis, Polytechnic University, Brooklyn, New York (August 2005)

    Google Scholar 

  9. http://en.wikipedia.org/wiki/BMP_file_format#Example_of_a_2.C3.972_Pixel.2C_24-Bit_Bitmap_.28Windows_DIB_Header_BITMAPINFOHEADER.29

  10. Loo, P.K., Tan, C.L.: Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid. In: IEEE Proc. Document Analysis Systems, pp. 264–275 (2004)

    Google Scholar 

  11. Martucci, S.A.: Reversible compression of HDTV images using median adaptive prediction and arithmetic coding. In: IEEE International Symposium on Circuits and Systems, vol. 2, pp. 1310–1313 (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chelliah, B., Vidyadharan, D.S., Shabana, P., Thomas, K.L. (2012). Carving of Bitmap Files from Digital Evidences by Contiguous File Filtering. In: Thampi, S.M., Zomaya, A.Y., Strufe, T., Alcaraz Calero, J.M., Thomas, T. (eds) Recent Trends in Computer Networks and Distributed Systems Security. SNDS 2012. Communications in Computer and Information Science, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34135-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34135-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34134-2

  • Online ISBN: 978-3-642-34135-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics