Data mining techniques to facilitate digital forensics investigations

Erik Miranda Lopez; Yoon Ho Kim; Jong Hyuk Park

doi:10.1007/978-981-10-3023-9_58

Data mining techniques to facilitate digital forensics investigations

Erik Miranda Lopez, Yoon Ho Kim, Jong Hyuk Park

Dept. of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
Editors	Vincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
Publisher	Springer Verlag
Pages	376-379
Number of pages	4
ISBN (Print)	9789811030222
DOIs	https://doi.org/10.1007/978-981-10-3023-9_58
State	Published - 2017
Event	11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand Duration: 19 Dec 2016 → 21 Dec 2016

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	421
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/Territory	Thailand
City	Bangkok
Period	19/12/16 → 21/12/16

Keywords

Classification
Data mining
Deviation detection
Digital Forensics
Entity extraction

Access to Document

10.1007/978-981-10-3023-9_58

Cite this

Lopez, E. M., Kim, Y. H., & Park, J. H. (2017). Data mining techniques to facilitate digital forensics investigations. In V. Loia, J. J. Jong Hyuk Park, G. Yi, & Y. Pan (Eds.), Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016 (pp. 376-379). (Lecture Notes in Electrical Engineering; Vol. 421). Springer Verlag. https://doi.org/10.1007/978-981-10-3023-9_58

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title = "Data mining techniques to facilitate digital forensics investigations",

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.",

keywords = "Classification, Data mining, Deviation detection, Digital Forensics, Entity extraction",

author = "Lopez, \{Erik Miranda\} and Kim, \{Yoon Ho\} and Park, \{Jong Hyuk\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

year = "2017",

doi = "10.1007/978-981-10-3023-9\_58",

language = "English",

isbn = "9789811030222",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "376--379",

editor = "Vincenzo Loia and \{Jong Hyuk Park\}, \{James J.\} and Gangman Yi and Yi Pan",

booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",

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Lopez, EM, Kim, YH & Park, JH 2017, Data mining techniques to facilitate digital forensics investigations. in V Loia, JJ Jong Hyuk Park, G Yi & Y Pan (eds), Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016. Lecture Notes in Electrical Engineering, vol. 421, Springer Verlag, pp. 376-379, 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016, Bangkok, Thailand, 19/12/16. https://doi.org/10.1007/978-981-10-3023-9_58

Data mining techniques to facilitate digital forensics investigations. / Lopez, Erik Miranda; Kim, Yoon Ho; Park, Jong Hyuk.
Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016. ed. / Vincenzo Loia; James J. Jong Hyuk Park; Gangman Yi; Yi Pan. Springer Verlag, 2017. p. 376-379 (Lecture Notes in Electrical Engineering; Vol. 421).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.

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Y1 - 2017

N2 - 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.

AB - 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.

KW - Classification

KW - Data mining

KW - Deviation detection

KW - Digital Forensics

KW - Entity extraction

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DO - 10.1007/978-981-10-3023-9_58

M3 - Conference contribution

AN - SCOPUS:85007346076

SN - 9789811030222

T3 - Lecture Notes in Electrical Engineering

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BT - Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016

A2 - Loia, Vincenzo

A2 - Jong Hyuk Park, James J.

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PB - Springer Verlag

T2 - 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016

Y2 - 19 December 2016 through 21 December 2016

ER -

Data mining techniques to facilitate digital forensics investigations

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