Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2018 | OriginalPaper | Chapter

3. Data Reduction and Data Mining Frame-Work

Authors : Darren Quick, Kim-Kwang Raymond Choo

Published in: Big Digital Forensic Data

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

As highlighted in Chap. 2, there is a need for a methodology and framework for data reduction and data mining of digital forensic data. This chapter outlines the digital forensic data reduction and data mining framework, which endeavours to expand the process used for traditional forensic computer analysis to include data reduction, data mining, and input from external source data. This serves to expand common digital forensic frameworks, to be applicable when dealing with a large volume of digital forensic data.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Background and Literature Review
next chapter Digital Forensic Data Reduction by Selective Imaging
Footnotes
Literature
Abraham, T. (2006). Event sequence mining to develop profiles for computer forensic investigation purposes. In ACSW Frontiers ‘06: Proceedings of the 2006 Australasian Workshops on Grid Computing and E-Research (pp. 145–153).
Alink, W., Bhoedjang, R. A. F., Boncz, P. A., & de Vries, A. P. (2006). XIRAF–XML-based indexing and querying for digital forensics. Digital Investigation, 3(Suppl. 0), 50–58.CrossRef
Alzaabi, M., Jones, A., & Martin, T. A. (2013). An ontology-based forensic analysis tool. Journal of Digital Forensics, Security and Law, 2013(Conference Supplement), 121–135.
Beebe, N. (2009). Digital forensic research: The good, the bad and the unaddressed. In Advances in digital forensics (pp. 17–36). Springer.CrossRef
Beebe, N., & Clark, J. (2005). Dealing with terabyte data sets in digital investigations. In Advances in digital forensics (pp. 3–16).
Bhoedjang, R. A. F., van Ballegooij, A. R., van Beek, H. M. A., van Schie, J. C., Dillema, F. W., van Baar, R. B., et al. (2012). Engineering an online computer forensic service. Digital Investigation, 9(2), 96–108.CrossRef
Brown, R., Pham, B., & de Vel, O. (2005). Design of a digital forensics image mining system. In Knowledge-based intelligent information and engineering systems (pp. 395–404).
Bunting, S., & Wei, W. (2006). EnCase computer forensics: The official EnCE: EnCaseCertified examiner study guide. Indianapolis, IN: Wiley.
Carrier, B. (2005). File system forensic analysis. NJ: Addison-Wesley Boston.
Carvey, H. (2011). Windows registry forensics: Advanced digital forensic analysis of the windows registry. Elsevier.
Casey, E. (2011). Digital evidence and computer crime: Forensic science, computers, and the internet. Elsevier.
FBI_RCFL. (2003–2012). FBI Regional Computer Forensic Laboratory Annual Reports 2003–2012, FBI, Quantico.
Ferraro, M. M., & Russell, A. (2004). Current issues confronting well-established computer-assisted child exploitation and computer crime task forces. Digital Investigation, 1(1), 7–15.CrossRef
Garfinkel, S. (2006a). Forensic feature extraction and cross-drive analysis. Digital Investigation, 3, 71–81.CrossRef
Garfinkel, S. (2006b). Forensic feature extraction and cross-drive analysis. Digital Investigation, 3(Suppl. 0), 71–81.CrossRef
Garfinkel, S. (2010) Digital forensics research: The next 10 years. Digital Investigation, 7(Suppl. 0), S64–S73.CrossRef
Hoelz, B., Ralha, C., & Geeverghese, R. (2009). Artificial intelligence applied to computer forensics. In SAC ‘09: Proceedings of the 2009 ACM Symposium on Applied Computing (pp. 883–888). ACM.
Huang, J., Yasinsac, A., & Hayes, P. J. (2010). Knowledge sharing and reuse in digital forensics. In 2010 fifth IEEE international workshop on systematic approaches to digital forensic engineering (SADFE) (pp. 73–78) IEEE.
Kenneally, E., & Brown, C. (2005). Risk sensitive digital evidence collection. Digital Investigation, 2(2), 101–119.CrossRef
Lee, J., Un, S., & Hong, D. (2008). High-speed search using Tarari content processor in digital forensics. Digital Investigation, 5, S91–S95.CrossRef
Marziale, L., Richard, G., & Roussev, V. (2007). Massive threading: Using GPUs to increase the performance of digital forensics tools. Digital Investigation, 4, 73–81.CrossRef
McKemmish, R. (1999), What is forensic computing?
Nance, K., Hay, B., & Bishop, M. (2009) Digital forensics: Defining a research agenda. In 42nd Hawaii international conference on system sciences, 2009, HICSS’09 (pp. 1–6). IEEE.
Palmer, G. (2001). A road map for digital forensic research. In Report from the first digital forensic research workshop (DFRWS), August 7–8, 2001.
Pollitt, M. M. (2013). Triage: A practical solution or admission of failure. Digital Investigation, 10(2), 87–88.CrossRef
Pringle, N., & Sutherland, I. (2008). Is a computational grid a suitable platform for high performance digital forensics? In Proceedings of the 7th European Conference on Information Warfare and Security (p. 175). Academic Conferences Limited.
Quarnby, N., & Young, L. J. (2010). Managing intelligence–The art of influence. Sydney, Australia: The Federation Press.
Quick, D., & Choo, K. (2013a). Dropbox analysis: Data remnants on user machines. Digital Investigation, 10(1), 3–18.CrossRef
Quick, D., & Choo, K. (2013b). Digital Droplets: Microsoft SkyDrive forensic data remnants. Future Generation Computer Systems, 29(6), 1378–1394.CrossRef
Quick, D., & Choo, K.-K. R. (2013c). Forensic collection of cloud storage data: Does the act of collection result in changes to the data or its metadata? Digital Investigation, 10(3), 266–277.CrossRef
Quick, D., & Choo, K.-K. R. (2014). Google drive: Forensic analysis of data remnants. J. Network and Computer Applications, 40, 179–193.CrossRef
Quick, D., Martini, B., & Choo, K.-K. R. (2014). Cloud storage forensics. Syngress: An Imprint of Elsevier.
Raghavan, S. (2013). Digital forensic research: Current state of the art. CSI Transactions on ICT, 1(1), 91–114.CrossRef
Raghavan, S., Clark, A., & Mohay, G. (2009). FIA: An open forensic integration architecture for composing digital evidence. In Forensics in telecommunications, information and multimedia (pp. 83–94). Springer.
Ratcliffe, J. (2003). Intelligence-led policing. Trends and Issues in Crime and Criminal Justice, 248, 1–6.
Reyes, A., Oshea, K., Steele, J., Hansen, J., Jean, B., & Ralph, T. (2007). Digital forensics and analyzing data (pp. 219–259). Cyber Crime Investigations: Elsevier.
Richard, G., & Roussev, V. (2006). Next-generation digital forensics. Commun ACM, 49(2), 76–80.CrossRef
Roussev, V., & Richard, G. (2004). Breaking the performance wall: The case for distributed digital forensics. In Proceedings of the 2004 Digital Forensics Research Workshop.
Schatz, B., & Clark, A. J. (2006). An open architecture for digital evidence integration. In AusCERT Asia Pacific information technology security conference, 21–26 May 2006.
Shannon, M. (2004). Forensic relative strength scoring: ASCII and entropy scoring. International Journal of Digital Evidence, 2(4), 151–169.
Sheldon, A. (2005). The future of forensic computing. Digital Investigation: The International Journal of Digital Forensics and Incident Response, 2(1), 31–35.CrossRef
Shiaeles, S., Chryssanthou, A., & Katos, V. (2013). On-scene triage open source forensic tool chests: Are they effective? Digital Investigation, 10(2), 99–115.CrossRef
Teelink, S., & Erbacher, R. (2006). Improving the computer forensic analysis process through visualization. Communication of ACM, 49(2), 71–75.CrossRef
Turner, P. (2005). Unification of digital evidence from disparate sources (Digital Evidence Bags). Digital Investigation, 2(3), 223–228.CrossRef
Turner, P. (2007). Applying a forensic approach to incident response, network investigation and system administration using Digital Evidence Bags. Digital Investigation, 4(1), 30–35.CrossRef
UNODC. (2011). United Nations office on drugs and crime–Criminal intelligence manual for analysts. New York, Vienna, Austria: United Nations.
van Baar, R.B., van Beek, H. M. A., & van Eijk, E. J. (2014). Digital forensics as a service: A game changer. Digital Investigation, 11(Suppl. 1, no. 0), S54–S62.CrossRef
Vidas, T., Kaplan, B., & Geiger, M. (2014). OpenLV: Empowering investigators and first-responders in the digital forensics process. Digital Investigation, 11(Suppl. 1, no. 0), S45–S53.CrossRef
Metadata
Title
Data Reduction and Data Mining Frame-Work
Authors
Darren Quick
Kim-Kwang Raymond Choo
Copyright Year
2018
Publisher
Springer Singapore
Book
Big Digital Forensic Data

Print ISBN: 978-981-10-7762-3

Electronic ISBN: 978-981-10-7763-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7763-0_3

Premium Partner

    Image Credits