Abstract
Digital forensics is an essential discipline for both law enforcement agencies and businesses. It makes possible to investigate electronic related crimes aka cybercrime such as fraud, industrial espionage and computer misuse. However, encryption, anti-forensic tools and the ever increasing amount of volume of data to analyse creates a wide range of challenges to overcome. Fortunately, other computer fields can be applied to overcome those challenges. This paper will explore some data mining techniques to address most common issues in Digital Forensics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Nelson, B., Phillips, A., Steuart, C.: Guide to computer forensics and investigations, Cengage Learning (2015)
Computer Forensics World (2016). http://www.computerforensicsworld.com/. Accessed 4 May 2016
McKemmish, R.: What Is Forensic Computing?. Australian Institute of Criminology, Canberra (1999)
US-CERT, Computer Forensics (2008). https://www.us-cert.gov/sites/default/files/publications/forensics.pdf. Accessed 14 May 2016
Mercuri, R.: Challenges in forensic computing. ACM 48(12) (2015)
Han, J., Kamber, M., Pei, J.: Data mining: concepts and techniques. Elsevier (2011)
Mahdian, B., Saic, S.: Using noise inconsistencies for blind image forensics. Image Vis. Comput. 27(10), 1497–1503 (2009)
Justickis, V.: Criminal datamining. Security Handbook of Electronic Security and Digital Forensics (2010)
Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M.: Crime data mining: a general framework and some examples. Computer 37(4), 50–56 (2004)
Sindhu, K.K., Meshram, B.B.: Digital forensics and cyber crime datamining. J. Inf. Secur. 3(3), 196 (2012)
de Vel, O., et al.: Mining e-mail content for author identification forensics. SIGMOD Rec. 30(4), 55–64 (2001)
Acknowledgement
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8601-16-1009) supervised by the IITP(Institute for Information & communications Technology Promotion).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Miranda Lopez, E., Kim, Y.H., Park, J.H. (2017). Data Mining Techniques to Facilitate Digital Forensics Investigations. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_58
Download citation
DOI: https://doi.org/10.1007/978-981-10-3023-9_58
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3022-2
Online ISBN: 978-981-10-3023-9
eBook Packages: EngineeringEngineering (R0)