Digital forensics tools: the next generation
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Digital forensics tools: the next generation
76 Richard & Roussev
Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written
permission of Idea Group Inc. is prohibited.
Chapter IV
Digital Forensics Tools:
The Next Generation
Golden G. Richard III, University of New Orleans, USA
Vassil Roussev, University of New Orleans, USA
Abstract
Digital forensics investigators have access to a wide variety of tools, both commercial
and open source, which assist in the preservation and analysis of digital evidence.
Unfortunately, most current digital forensics tools fall short in several ways. First, they
are unable to cope with the ever-increasing storage capacity of target devices. As these
storage capacities creep into hundreds of gigabytes or terabytes, the traditional
approach of utilizing a single workstation to perform a digital forensics investigation
against a single evidence source (e.g., a hard drive) will become completely intractable.
Further, huge targets will require more sophisticated analysis techniques, such as
automated categorization of images. We believe that the next generation of digital
forensics tools will employ high-performance computing, more sophisticated evidence
discovery and analysis techniques, and better collaborative functions to allow digital
forensics investigators to perform investigations much more efficiently than they do
today. This chapter examines the next generation of digital forensics tools.
Introduction
A wide variety of digital forensics tools, both commercial and open source, are currently
available to digital forensics investigators. These tools, to varying degrees, provide
levels of abstraction that allow investigators to safely make copies of digital evidence
Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written
permission of Idea Group Inc. is prohibited.
Chapter IV
Digital Forensics Tools:
The Next Generation
Golden G. Richard III, University of New Orleans, USA
Vassil Roussev, University of New Orleans, USA
Abstract
Digital forensics investigators have access to a wide variety of tools, both commercial
and open source, which assist in the preservation and analysis of digital evidence.
Unfortunately, most current digital forensics tools fall short in several ways. First, they
are unable to cope with the ever-increasing storage capacity of target devices. As these
storage capacities creep into hundreds of gigabytes or terabytes, the traditional
approach of utilizing a single workstation to perform a digital forensics investigation
against a single evidence source (e.g., a hard drive) will become completely intractable.
Further, huge targets will require more sophisticated analysis techniques, such as
automated categorization of images. We believe that the next generation of digital
forensics tools will employ high-performance computing, more sophisticated evidence
discovery and analysis techniques, and better collaborative functions to allow digital
forensics investigators to perform investigations much more efficiently than they do
today. This chapter examines the next generation of digital forensics tools.
Introduction
A wide variety of digital forensics tools, both commercial and open source, are currently
available to digital forensics investigators. These tools, to varying degrees, provide
levels of abstraction that allow investigators to safely make copies of digital evidence
Page 2
Digital Forensics Tools: The Next Generation 77
Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written
permission of Idea Group Inc. is prohibited.
and perform routine investigations, without becoming overwhelmed by low level details,
such as physical disk organization or the specific structure of complicated file types, like
the Windows registry. Many existing tools provide an intuitive user interface that turns
an investigation into something resembling a structured process, rather than an arcane
craft.
Unfortunately, the current generation of digital forensics tools falls short in several
ways. First, massive increases in storage capacity for target devices are on the horizon.
The traditional approach of utilizing a single workstation to perform a digital forensics
investigation against a single evidence source (e.g., a hard drive) will become completely
intractable as storage capacities of hundreds of gigabytes or terabytes are seen more
often in the lab. Furthermore, even if traditional investigative steps such as keyword
searches or image thumbnail generation can be sped up to meet the challenge of huge
data sets, much more sophisticated investigative techniques will still be needed. For
example, while manually poring over a set of thousands (or even tens of thousands) of
thumbnails to discover target images may be possible, what will an investigator do when
faced with hundreds of thousands of images? Or millions?
The next generation of digital forensics tools will employ high performance computing,
more sophisticated data analysis techniques, and better collaborative functions to allow
digital forensics investigators to perform investigations much more efficiently and to
meet the challenges of massive data sets. In this chapter, we examine some of the technical
issues in next generation tools and discuss ongoing research that seeks to address them.
Challenges
To see the challenges faced by the next generation of digital forensics tools, we examine
the looming problems of scale that will soon overwhelm current generation tools. The
primary challenges are fueled by fundamental trends in computing and communication
technologies that will persist for the foreseeable future. Storage capacity and bandwidth
available to consumers are growing extremely rapidly, while unit prices are dropping
dramatically. Coupled with the consumer’s urge to have everything online, where music
collections, movies, and photographs will increasingly be stored solely in digital form,
these trends will result in even consumer-grade computers having huge amounts of
storage. From a forensics perspective, this translates into rapid growth of the number and
size of potential investigative targets. To be ready, forensic professionals need to scale
up both their machine and human resources accordingly.
Currently, most digital forensic applications are developed for a high-end, single or dual-
CPU workstation that performs queries against a set of target media. In our experience,
this approach is already very time-consuming, even for targets of modest size. More
importantly, fundamental trends in hardware dictate that this single workstation ap-
proach will hit an insurmountable performance wall very soon. Patterson (2004) per-
formed a quantitative survey of long-term trends in hardware with respect to capacity,
bandwidth, and latency. From a forensics perspective, the most consequential result is
the observed divergence between capacity growth and improvements in latency. Spe-
Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written
permission of Idea Group Inc. is prohibited.
and perform routine investigations, without becoming overwhelmed by low level details,
such as physical disk organization or the specific structure of complicated file types, like
the Windows registry. Many existing tools provide an intuitive user interface that turns
an investigation into something resembling a structured process, rather than an arcane
craft.
Unfortunately, the current generation of digital forensics tools falls short in several
ways. First, massive increases in storage capacity for target devices are on the horizon.
The traditional approach of utilizing a single workstation to perform a digital forensics
investigation against a single evidence source (e.g., a hard drive) will become completely
intractable as storage capacities of hundreds of gigabytes or terabytes are seen more
often in the lab. Furthermore, even if traditional investigative steps such as keyword
searches or image thumbnail generation can be sped up to meet the challenge of huge
data sets, much more sophisticated investigative techniques will still be needed. For
example, while manually poring over a set of thousands (or even tens of thousands) of
thumbnails to discover target images may be possible, what will an investigator do when
faced with hundreds of thousands of images? Or millions?
The next generation of digital forensics tools will employ high performance computing,
more sophisticated data analysis techniques, and better collaborative functions to allow
digital forensics investigators to perform investigations much more efficiently and to
meet the challenges of massive data sets. In this chapter, we examine some of the technical
issues in next generation tools and discuss ongoing research that seeks to address them.
Challenges
To see the challenges faced by the next generation of digital forensics tools, we examine
the looming problems of scale that will soon overwhelm current generation tools. The
primary challenges are fueled by fundamental trends in computing and communication
technologies that will persist for the foreseeable future. Storage capacity and bandwidth
available to consumers are growing extremely rapidly, while unit prices are dropping
dramatically. Coupled with the consumer’s urge to have everything online, where music
collections, movies, and photographs will increasingly be stored solely in digital form,
these trends will result in even consumer-grade computers having huge amounts of
storage. From a forensics perspective, this translates into rapid growth of the number and
size of potential investigative targets. To be ready, forensic professionals need to scale
up both their machine and human resources accordingly.
Currently, most digital forensic applications are developed for a high-end, single or dual-
CPU workstation that performs queries against a set of target media. In our experience,
this approach is already very time-consuming, even for targets of modest size. More
importantly, fundamental trends in hardware dictate that this single workstation ap-
proach will hit an insurmountable performance wall very soon. Patterson (2004) per-
formed a quantitative survey of long-term trends in hardware with respect to capacity,
bandwidth, and latency. From a forensics perspective, the most consequential result is
the observed divergence between capacity growth and improvements in latency. Spe-
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