Data Exploration Interface for Digital Forensics

Varun Dontula

ISBN 10: 3659400262 / ISBN 13: 9783659400261

Published by LAP LAMBERT Academic Publishing Jul 2013, 2013

About this Item

Neuware -The fast capacity growth of cheap storage devices presents an ever-growing problem of scale for digital forensic investigations. One aspect of scale problem in the forensic process is the need for new approaches to visually presenting and analyzing large amounts of data. Current generation of tools universally employ three basic GUI components-trees, tables, and viewers-to present all relevant information. This approach is not scalable as increasing the size of the input data leads to a proportional increase in the amount of data presented to the analyst. We present an alternative approach, which leverages data visualization techniques to provide a more intuitive interface to explore the forensic target. We use tree visualization techniques to give the analyst both a high-level view of the file system and an efficient means to drill down into the details. Further, we provide means to search for keywords and filter the data by time period. 52 pp. Englisch.

Seller Inventory # 9783659400261

Bibliographic Details

• Title: Data Exploration Interface for Digital Forensics
• Publisher: LAP LAMBERT Academic Publishing Jul 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 3659400262
• ISBN 13: 9783659400261
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams

About this title

Synopsis

The fast capacity growth of cheap storage devices presents an ever-growing problem of scale for digital forensic investigations. One aspect of scale problem in the forensic process is the need for new approaches to visually presenting and analyzing large amounts of data. Current generation of tools universally employ three basic GUI components—trees, tables, and viewers—to present all relevant information. This approach is not scalable as increasing the size of the input data leads to a proportional increase in the amount of data presented to the analyst. We present an alternative approach, which leverages data visualization techniques to provide a more intuitive interface to explore the forensic target. We use tree visualization techniques to give the analyst both a high-level view of the file system and an efficient means to drill down into the details. Further, we provide means to search for keywords and filter the data by time period.

About the Author

I pursued my Bachelor of Technology in Computer Science and Technology from National Institute of Technology,Silchar India in May 2009. I graduated with Master's degree in Computer Science, specialized in Information Assurance from University of New Orleans. Currently working as software solutions provider to Hilton Worldwide.