The United States' Defense Advanced Research Projects
Agency (DARPA) is reportedly working on a search engine of sorts for the Deep
Web in order to aid law enforcement against human trafficking.
DARPA's 3-year research program, dubbed as Memex, has
been operating now for 6 months in coordination with 17 contractors and 8
partners. Carnegie Mellon was given a USD 3.6 million contract this year to
partner with DARPA in the Memex project. And according to a research professor
in its Robotics Institute, there is a huge potential in the program.
The term "Memex", which refers to Vannevar
Bush's 1945 essay about a collective memory for humanity, is now going to be
known as a tool for bypassing typical search processes in order to pinpoint
users who create or spread illegal content in the deep web.
The mainstream webpages we can access through traditional
methods compose what we call the Surface Web. Because of certain factors like ranking and advertising,
results from leading search engines only account for around 10% of the Web. And
according to some estimates, the Deep Web actually comprises 90% of the online
world, with most of its content only accessible through Tor. The goal of Memex is to search through this Deep Web
for signs of illegal activity.
The problem with the darknet is that the webpages in
there are too fleeting -- content disappears even before authorities can check
them. What Memex would do to solve this is to log the content and its source,
then trace any personal information of the poster and map locations. This way,
it will be easier to track online patterns that will aid law enforcement in uncovering
illegal activities such as in the case of Silk Road.
Evidently, this won't be just useful in the field of law
enforcement but can be also repurposed to be of use in the business sector and
other fields like journalism.
DARPA program manager Chris White said in a post,
"We're envisioning a new paradigm for search that would tailor indexed
content, search results and interface tools to individual users and specific
subject areas, and not the other way around. By inventing better methods for interacting
with and sharing information, we want to improve search for everybody and
individualize access to information."
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