Open Source Intelligence (OSINT) : Issues and Trends: January 2020
Open Source Intelligence (OSINT) : Issues and Trends: January 2020
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Tomislav Dokman,
Postgraduate doctoral student
Postgraduate doctoral programme of Information and Communication Sciences
Faculty of Humanities and Social Sciences University of Zagreb,
Ivana Lučića 3, Zagreb, Croatia
dokman.tomislav@gmail.com
Summary
Open Source Intelligence (OSINT) is an intelligence product which has been
processed, analysed and obtained from the publicly available information. It
should be actionable and disseminated in a timely manner to the appropriate
audience. Open source intelligence transfers specific knowledge to beneficiaries
for them to use it in their actions and the decision-making process. Even though
intelligence has for years been considered a state activity, a new postmodern
intelligence paradigm (resulting from the post-Cold War period), along with the
new security threats and technological improvement within the information and
communication technology changed the understanding of intelligence and open
source intelligence. It is believed that the bulk of intelligence, according to
some estimates as much as 80 percent, comes from publicly available sources,
which unquestionably indicates that this specific intelligence knowledge can be
created outside of the traditional intelligence environment. The positive
characteristics of publicly available information is easy availability and
velocity, variety of topics, the ethical component and the low cost of its
collecting; while on the other hand, in the negative context, it is characterized
by manipulative character, disinformation potential, fragmented truth,
contradiction and mistrust. Since public domain is a suitable platform for
spreading influence, various actors in this domain are trying to have an impact
on the information, making it difficult to evaluate, compare and analyse. This
paper tries to explore the key advantages and disadvantages of open source
intelligence in the context of intelligence activities.
Introduction
the people who have done the most on advancing open source intelligence
information, Robert David Steele, emphasises that OSINT is “unclassified
information that has been deliberately discovered, discriminated, distilled and
disseminated to a select audience in order to address a specific question (Steele
2006: 129). On the other hand, Williams and Blum (2018: 8) give a definition
of OSINT as “publicly available information that has been discovered,
determined to be of intelligence value, and disseminated by a member of the
IC.” “Open source intelligence is also a specific intelligence collection
discipline such as human intelligence (HUMINT), intelligence gathered by
interception of signals (SIGINT), imaginary intelligence (IMINT) and the
scientific and technical processing of data collected from different moving and
immovable sources (MASINT) or measurement and signature intelligence
(NATO 2001).” In other words, it is a discipline whose predominant feature is
the availability of unclassified information. According to Mercado (2005) “open
sources often equal or surpass classified information in monitoring and
analysing such pressing problems such as terrorism, proliferation, and
counterintelligence.” For Mercado (2005), the space of public and secret
information is often interwoven with frequent meandering from the clandestine
space to the public area and the other way around. The author states that it is in
the public space that we often find information obtained by leaking secret
information, while state systems are characterised by obtaining intelligence
information from secret sources and are quite often an amalgam of open source
information. It is essential to point out here that OSINT “products can reduce
the demands on classified intelligence collection resources.” (Steele 2006: 129)
Steele is of the opinion that collecting data in a secret way should be reduced to
a minimum, or that they should be gathered in such ways only when we know
what it is that is still missing in a certain puzzle. Steele in fact here deals with
the problem of optimizing state resources, with quality planning being a
precondition for that, which in a concrete case means collecting the publicly
available, and only after that the less readily accessible, classified information.
Matey (2005: 8) thinks that “OSINT is changing the traditional conception of
intelligence”, and as a consequence, there will be more and more situations
where the private sector enters the field of intelligence and the process of
creating intelligence knowledge. Today, there are numerous organizations
which, by using open sources advance intelligence knowledge and create
analytical work in the area of national security based on publicly available
information. Some of the better-known ones are the American think-tank
organization, RAND Corporation, along with Jane’s Information Group, and
the British BBC Monitoring. The traditional open source intelligence process
(request - collection - processing - analysis - dissemination) shows the
cyclically interconnected parts exchanging within a circle. It is a never-ending
process; after the dissemination of intelligence knowledge in the form of
information is done, it goes on and a new cycle of collecting unclassified data
OSINT: issues and trends
Advantage Characteristics
The simplicity of obtaining information Technological development and the
Internet have resulted in simple ways of
obtaining open source information. To get
open source information, one needs a PC
and Internet access. “This is the reason
why OSINT is more accessible, ubiquitous,
and valuable.” (Mercado 2004: 47)
The speed at which a great quantity of Digital data are suitable for generating
information is gathered great quantities of information. They also
make it possible to search through a great
volume of available open source
information within a very short time-span,
which is not a feature of any other
intelligence discipline.
Covering a wide spectrum of content units The advantage of open source work is the
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Searching for data from the recent past This discipline is superior when it comes to
the investigation of post festum events,
when it is necessary to collect a wider
information pool about an event from the
past, and investigate and/or a reconstruct a
certain, especially recent, past event.
Low level of danger (safe model) Here we are dealing with a risk-free way of
information gathering, which is why this
discipline can be described as the most
acceptable data-collecting technique, as far
as matters of security are concerned. In
other words, exploiting open source
information access can diminish or
optimize the necessity to use much more
dangerous and much more complex ways
to gain factual knowledge with the help of
human sources.
Open- source pieces of information do not cost Considering the fact that open source data
much is publicly available, mostly they do not
have to be paid for. Still, there are certain
magazines, studies and articles in think-
tank organizations that can be used on
condition they are given an extra fee.
Collecting information from a single spot This secret data collecting discipline from
OSINT: issues and trends
Simple data dissemination procedures Considering the fact that here we are
dealing with the data readily available to
everybody, their dissemination should not
be based on spreading them restrictively or
in a limited way; such pieces of
information are suitable for both horizontal
sharing and they can be made available to
the broader public in general.
Other authors have also been studying the good and bad sides of open source
intelligence information and their opinions concur with the insights given here.
For instance, Annie Ahuja (2018: 470) states the advantages of open source
intelligence are: 1) Less Expensive; 2) Accessing Information; 3) Security; 4)
Business; 5) Social Media; 6) Updated Data and Metadata; 7) Semantic
Understanding; 8) Applications. Simultaneously, Mercado (2005) emphasises
OSINT’s “value advert, speed, quantity, quality, clarity, ease of use and cost.”
OSINT is a unique discipline that can share its product with everyone, the profit
being greater if we take into consideration the fact that it is also shared with
humanitarian aid missions and forces of security, law and order. The fact that
the results of OSINT’s inquests are used as contributions to early warning
systems also needs to be born in mind (Steele 2006: 133). On the other hand, it
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is important to point out that OSINT has not been put in place to replace other
intelligence disciplines in the production of actionable knowledge, i.e. it is not
aimed at one discipline replacing an existing one.
Disadvantage Characteristics
Great quantities of accessible information Public space is characterised by great
quantities of available information. Quite
often the data is badly laid out and therefore
confusing, and then it is also difficult to find
the exact data we are looking for. Hassan
(2018) thinks that we live in an information
world, with millions of people in constant
communication and constantly sharing all
kinds of information. Namely, the daily data
production, according to some estimates,
amounts to about 2.5 quintillion bytes, the
assumption being that this number is bound
to increase even further with further Internet
growth (Marr 2018)
Conclusion
Until the emergence of the Internet and the state-of-the-art communication and
information-sharing applications, open source intelligence information was
OSINT: issues and trends
References
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