A study for classification of web browser log and timeline visualization

Junghoon Oh; Namheun Son; Sangjin Lee; Kyungho Lee

doi:10.1007/978-3-642-35416-8_14

A study for classification of web browser log and timeline visualization

Junghoon Oh, Namheun Son, Sangjin Lee, Kyungho Lee

School of Cybersecurity

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

2 Citations (Scopus)

Abstract

Types of logs, such as cache, history, cookie and downloads list, are created by a web browser. Digital forensic investigators analyze these logs and obtain useful information related to cases. In fact, most of the existing tools simply parse log files. As a result, investigators have to classify and analyze log data at firsthand in the process of digital forensic investigation. In particular, in the case of massive data, they should spend enormous time analyzing the data. Therefore, in this paper, with parsed information on cache, history, cookie and download list, we propose data classification and timeline visualization method to improve analysis in efficient way for reducing investigation time and work. Also, ”WEFA”, a developed tool based on the research work, is to be introduced.

Original language	English
Title of host publication	Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers
Editors	Dong Hoon Lee, Moti Yung
Publisher	Springer Verlag
Pages	192-207
Number of pages	16
ISBN (Print)	9783642354151
DOIs	https://doi.org/10.1007/978-3-642-35416-8_14
Publication status	Published - 2012
Event	13th International Workshop on Information Security Applications, WISA 2012 - Jeju Island, Korea, Republic of Duration: 2012 Aug 16 → 2012 Aug 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7690 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Workshop on Information Security Applications, WISA 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	12/8/16 → 12/8/18

Bibliographical note

Funding Information:
★ This work was supported by the IT R&D program of MKE/KEIT 10035157, Devel-opment of Digital Forensic Technologies for Real-Time Analysis. ★★ Corresponding author.

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.

Keywords

Data classification
Timeline visualization
Web browser log

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-35416-8_14

Cite this

Oh, J., Son, N., Lee, S., & Lee, K. (2012). A study for classification of web browser log and timeline visualization. In D. H. Lee, & M. Yung (Eds.), Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers (pp. 192-207). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7690 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-35416-8_14

A study for classification of web browser log and timeline visualization. / Oh, Junghoon; Son, Namheun; Lee, Sangjin et al.
Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers. ed. / Dong Hoon Lee; Moti Yung. Springer Verlag, 2012. p. 192-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7690 LNCS).

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

Oh, J, Son, N, Lee, S & Lee, K 2012, A study for classification of web browser log and timeline visualization. in DH Lee & M Yung (eds), Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7690 LNCS, Springer Verlag, pp. 192-207, 13th International Workshop on Information Security Applications, WISA 2012, Jeju Island, Korea, Republic of, 12/8/16. https://doi.org/10.1007/978-3-642-35416-8_14

Oh J, Son N, Lee S , Lee K. A study for classification of web browser log and timeline visualization. In Lee DH, Yung M, editors, Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers. Springer Verlag. 2012. p. 192-207. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-35416-8_14

Oh, Junghoon ; Son, Namheun ; Lee, Sangjin et al. / A study for classification of web browser log and timeline visualization. Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers. editor / Dong Hoon Lee ; Moti Yung. Springer Verlag, 2012. pp. 192-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Types of logs, such as cache, history, cookie and downloads list, are created by a web browser. Digital forensic investigators analyze these logs and obtain useful information related to cases. In fact, most of the existing tools simply parse log files. As a result, investigators have to classify and analyze log data at firsthand in the process of digital forensic investigation. In particular, in the case of massive data, they should spend enormous time analyzing the data. Therefore, in this paper, with parsed information on cache, history, cookie and download list, we propose data classification and timeline visualization method to improve analysis in efficient way for reducing investigation time and work. Also, ”WEFA”, a developed tool based on the research work, is to be introduced.",

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AB - Types of logs, such as cache, history, cookie and downloads list, are created by a web browser. Digital forensic investigators analyze these logs and obtain useful information related to cases. In fact, most of the existing tools simply parse log files. As a result, investigators have to classify and analyze log data at firsthand in the process of digital forensic investigation. In particular, in the case of massive data, they should spend enormous time analyzing the data. Therefore, in this paper, with parsed information on cache, history, cookie and download list, we propose data classification and timeline visualization method to improve analysis in efficient way for reducing investigation time and work. Also, ”WEFA”, a developed tool based on the research work, is to be introduced.

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A study for classification of web browser log and timeline visualization

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this