TY - GEN
T1 - A study for classification of web browser log and timeline visualization
AU - Oh, Junghoon
AU - Son, Namheun
AU - Lee, Sangjin
AU - Lee, Kyungho
N1 - 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.
PY - 2012
Y1 - 2012
N2 - 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.
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.
KW - Data classification
KW - Timeline visualization
KW - Web browser log
UR - http://www.scopus.com/inward/record.url?scp=84911025079&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-35416-8_14
DO - 10.1007/978-3-642-35416-8_14
M3 - Conference contribution
AN - SCOPUS:84911025079
SN - 9783642354151
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 192
EP - 207
BT - Information Security Applications - 13th International Workshop, WISA 2012, Revised Selected Papers
A2 - Lee, Dong Hoon
A2 - Yung, Moti
PB - Springer Verlag
T2 - 13th International Workshop on Information Security Applications, WISA 2012
Y2 - 16 August 2012 through 18 August 2012
ER -