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These instructions are for installing Evident natively. If you are looking for the fastest way to start using Evident check the virtual machine install instructions.
E-vident is written in Python, using QIIME as a base framework and the Apache HTTP Server. The following installation instructions assume all of these dependencies to be correctly installed.
Clone the E-vident repository from the GitHub repository site:
To access all the sample data contained in the repository, you will need to create a symbolic link from the repository you just downloaded to the root directory and name it
/evident , for example:
The following steps will guide you through the installation and configuration of mod_python.
Modpython is an Apache module that embeds the Python interpreter within the server. To get the package you will need to download the most recent SVN version by running the following command:
The installation of mod_python varies depending on the OS version you are using.
Mac OS X 10.6.x Snow Leopard
Before proceeding, you will need to have the Apple Developer tools installed; these tools can be found in the installation CDs that ship with you computer. If you have Xcode installed in your computer it is very likely that you have the tools already.
Mac OS X 10.7.x Lion and 10.8.x Mountain Lion
To proceed with this installation you will need to have installed Xcode (which you can download from the Mac App Store) after you have done this, the next step is to install the command line tools for OS X. Once this is done you can proceed to build the package.
Ubuntu
If you don't have Apache installed already proceed to install it and then install mod_python:
The last few steps require you to modify your Apache configuration files located in:
You will need to add all of the following lines:
Notice that on the last line each path corresponds to a python module that you should have installed in your computer, as an example here all our python modules are living under
/Users/yoshiki/Applications/sw/ hence we have to add the location of each module.
It is possible however that if you have all this modules installed in the site-packages directory of your python installation folder, if this is the case you won't have individual folders per module and you will not need to add all these paths as python should automatically be able to see the information.
Now edit
/private/etc/apache2/users/[username].conf to add the following lines:
Restart Apache and now you should be all set.
Installation FAQs & Issues
Some of the known issues when building this package are:
To overcome this issue you will need to install Xcode 3.2.1. Once this is installed, go to the mod-python directory and try to re-build the package:
error: command gcc-4.2 failed with exit status 1
Locate GCC by running
which gcc from the terminal and create a symbolic link, for example:
During the 1980s, most digital forensic investigations consisted of 'live analysis', examining digital media directly using non-specialist tools. In the 1990s, several freeware and other proprietary tools (both hardware and software) were created to allow investigations to take place without modifying media. This first set of tools mainly focused on computer forensics, although in recent years similar tools have evolved for the field of mobile device forensics.[1] This list includes notable examples of digital forensic tools.
![]() Forensics-focused operating systems[edit]Debian-based[edit]
Ubuntu-based[edit]
Gentoo-based[edit]
Computer forensics[edit]
Image and video forensics[edit]
Memory forensics[edit]
Memory forensics tools are used to acquire or analyze a computer's volatile memory (RAM). They are often used in incident response situations to preserve evidence in memory that would be lost when a system is shut down, and to quickly detect stealthy malware by directly examining the operating system and other running software in memory.
Mobile device forensics[edit]
Mobile forensics tools tend to consist of both a hardware and software component. Mobile phones come with a diverse range of connectors, the hardware devices support a number of different cables and perform the same role as a write blocker in computer devices.
Software forensics[edit]
Software forensics is the science of analyzing software source code or binary code to determine whether intellectual property infringement or theft occurred. It is the centerpiece of lawsuits, trials, and settlements when companies are in dispute over issues involving software patents, copyrights, and trade secrets. Software forensics tools can compare code to determine correlation, a measure that can be used to guide a software forensics expert.
Other[edit]
References[edit]
See also[edit]
Retrieved from 'https://en.wikipedia.org/w/index.php?title=List_of_digital_forensics_tools&oldid=937178588'
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