There
is this believe that Big Data can stop terrorism within the next ten to twenty
years if executed well. But certain measures have to be in place
And
these measures range from the confiscation of travel documents of people
considered dangerous, to speeding up agreements for the exchange of traffic
data of passengers, and strengthening, or reforming the borderless Areas.
Clearly
Big Data is on the rise in all information related methods. The ways in which
Big Data is revolutionizing business are much discussed. However, less
appreciated are the possible implications for security and intelligence? In the
future, it may become possible to confidently predict terrorist activity by
combining observations from sources such as social media activity, internet
searches, shopping habits and smartphone location:
It is
also good to note that people (terrorists too) are generating more and more
data - From their smartphones, appliances, satellites, terminals, cameras
and a range of other sensors on vehicles and machinery. Anything people do
online can be traced, stored and analyzed.
Below is a list of ways that big data can be used to achieve
this purpose:
1)
Predictive Analytics: Predictive analytics encompasses a
variety of statistical techniques from modeling, machine learning and data
mining that analyze current and historical facts to make predictions about
future, or otherwise unknown, events. With predictive analytics we can
anticipate security threats and terrorist behavior - Several police forces
already analyze Twitter and text messages as part of their activities to
anticipate terrorism and use predictive algorithms to decide where
officers should patrol by analyzing what areas typically see what terrorist
behavior at what time of day. Predictive analytics in terrorism prevention will
have a profound impact on our society and democratic rights - Predictive
analytics based on Big Data is about correlation, not causation. Even when
algorithms are highly accurate at linking patterns of behavior to future acts
of terrorism, there will still be innocently intentioned individuals who match
these patterns of behavior only through coincidence. Predictive analytics could
significantly decrease the incidence of terrorism and make the world a safer
place – but only if we can find ways to minimize the risk of misuse and
undesired side effects.
2)
Segregation: Segregating Islamic-militant prisoners and stronger
information-gathering measures such as Passenger Name Records, or PNR, a single
registry of air traffic data
3)
Tapping: wiretapping can be made more flexible, so that wiretaps
can be performed more quickly. Other measures include the freezing of assets of
foreign fighters and stripping terrorist fighters of their Nigerian nationality
4)
Seizing the personal identification cards of potentially violent
extremists for a much longer period than was initially planned,
5)
Another way is by giving intelligence agencies more powers to track
Internet and smartphone data
6)
Initiation of measures that
the police will use against people under suspicion of terrorism, reinforce
controls on the web through specific actions, such as the creation of a
blacklist of suspected pro-jihad websites
7)
Changing Visa rules to allow some border checks aimed at those
people with records of clear risk or a
real suspicion that they could be terrorists
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