Digital Forensic Science. Vassil Roussev

      

       Digital Forensic Science

       Issues, Methods, and Challenges

       Synthesis Lectures on Information Security, Privacy, & Trust

      Editor

      Elisa Bertino, Purdue University

      Ravi Sandhu, University of Texas, San Antonio

      The Synthesis Lectures Series on Information Security, Privacy, and Trust publishes 50- to 100-page publications on topics pertaining to all aspects of the theory and practice of Information Security, Privacy, and Trust. The scope largely follows the purview of premier computer security research journals such as ACM Transactions on Information and System Security, IEEE Transactions on Dependable and Secure Computing and Journal of Cryptology, and premier research conferences, such as ACM CCS, ACM SACMAT, ACM AsiaCCS, ACM CODASPY, IEEE Security and Privacy, IEEE Computer Security Foundations, ACSAC, ESORICS, Crypto, EuroCrypt and AsiaCrypt. In addition to the research topics typically covered in such journals and conferences, the series also solicits lectures on legal, policy, social, business, and economic issues addressed to a technical audience of scientists and engineers. Lectures on significant industry developments by leading practitioners are also solicited.

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      Vassil Roussev

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      Privacy Risk Analysis

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      Introduction to Secure Outsourcing Computation

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      Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections

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      2015

      Trust in Social Media

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      Physically Unclonable Functions (PUFs): Applications, Models, and Future Directions

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      Usable Security: History, Themes, and Challenges

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      Reversible Digital Watermarking: Theory and Practices

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      Mobile Platform Security

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      2013

      Security and Trust in Online Social Networks

      Barbara Carminati, Elena Ferrari, and Marco Viviani

      2013

      RFID Security and Privacy

      Yingjiu Li, Robert H. Deng, and Elisa Bertino

      2013

      Hardware Malware

      Christian Krieg, Adrian Dabrowski, Heidelinde Hobel, Katharina Krombholz, and Edgar Weippl

      2013

      Private Information Retrieval

      Xun Yi, Russell Paulet, and Elisa Bertino

      2013

      Privacy for Location-based Services

      Gabriel Ghinita

      2013

      Enhancing Information Security and Privacy by Combining Biometrics with Cryptography

      Sanjay G. Kanade, Dijana Petrovska-Delacrétaz, and Bernadette Dorizzi

      2012

      Analysis Techniques for Information Security

      Anupam Datta, Somesh Jha, Ninghui Li, David Melski, and Thomas Reps

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      Trent Jaeger

      2008

      Copyright © 2017 by Morgan & Claypool

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.

      Digital Forensic Science: Issues, Methods, and Challenges

      Vassil Roussev

       www.morganclaypool.com

      ISBN: 9781627059596 paperback

      ISBN: 9781627054652 ebook

      DOI 10.2200/S00738ED1V01Y201610SPT019

      A Publication in the Morgan & Claypool Publishers series

       SYNTHESIS LECTURES ON INFORMATION SECURITY, PRIVACY, & TRUST

      Lecture #19

      Series Editors: Elisa Bertino, Purdue University

      Ravi Sandhu, University of Texas, San Antonio

      Series ISSN

      Print 1945-9742 Electronic 1945-9750

       Digital Forensic Science

       Issues, Methods, and Challenges

      Vassil Roussev

      University of New Orleans

       SYNTHESIS LECTURES ON INFORMATION SECURITY, PRIVACY, & TRUST #19

       ABSTRACT

      Digital forensic science, or digital forensics, is the application of scientific tools and methods to identify, collect, and analyze digital (data) artifacts in support of legal proceedings. From a more technical perspective, it is the process of reconstructing the relevant sequence of events that have led to the currently observable state of a target IT system or (digital) artifacts.

      Over the last three decades, the importance of digital evidence has grown in lockstep with the fast societal adoption of information technology, which has resulted in the continuous accumulation of data at an exponential rate. Simultaneously, there has been a rapid growth in network connectivity and the complexity of IT systems, leading to more complex behavior that needs to be investigated.

      The goal of this book is to provide a systematic technical overview of digital forensic techniques, primarily from the point of view of computer science. This allows us to put the field in the broader perspective of a host of related areas and gain better insight into the computational challenges facing forensics, as well as draw inspiration for addressing them. This is needed as some of the challenges faced by digital forensics, such as cloud computing, require qualitatively different