A study for classification of web browser log and timeline visualization

Junghoon Oh, Namheun Son, Sangjin Lee, Kyungho Lee

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationInformation Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers
EditorsDong Hoon Lee, Moti Yung
PublisherSpringer Verlag
Pages192-207
Number of pages16
ISBN (Print)9783642354151
DOIs
Publication statusPublished - 2012
Event13th International Workshop on Information Security Applications, WISA 2012 - Jeju Island, Korea, Republic of
Duration: 2012 Aug 162012 Aug 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7690 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Workshop on Information Security Applications, WISA 2012
CountryKorea, Republic of
CityJeju Island
Period12/8/1612/8/18

Keywords

  • Data classification
  • Timeline visualization
  • Web browser log

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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