The Limitations of Automating OSINT: Understanding the Question, Not the Answer

Weir, George R. S.

doi:10.1016/b978-0-12-802916-9.00009-9

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Even though this type of sources is more prone to misinformation, it is actually where more knowledge can be extracted to investigate people, groups or companies. If the credibility of the open sources of information represents indeed a limitation, it becomes even more challenging considering the possible ambiguity of users' queries to retrieve the desired information [43].…”

Section: ) Data Sources Reliabilitymentioning

confidence: 99%

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

et al. 2020

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The amount of data generated by the current interconnected world is immeasurable, and a large part of such data is publicly available, which means that it is accessible by any user, at any time, from anywhere in the Internet. In this respect, Open Source Intelligence (OSINT) is a type of intelligence that actually benefits from that open natureby collecting, processing and correlating points of the whole cyberspace to generate knowledge. In fact, recent advances in technology are causing OSINT to currently evolve at a dizzying rate, providing innovative data-driven and AI-powered applications for politics, economy or society, but also offering new lines of action against cyberthreats and cybercrime. The paper at hand describes the current state of OSINT and makes a comprehensive review of the paradigm, focusing on the services and techniques enhancing the cybersecurity field. On the one hand, we analyze the strong points of this methodology and propose numerous ways to apply it to cybersecurity. On the other hand, we cover the limitations when adopting it. Considering there is a lot left to explore in this ample field, we also enumerate some open challenges to be addressed in the future. Additionally, we study the role of OSINT in the public sphere of governments, which constitute an ideal landscape to exploit open data.

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Section: ) Data Sources Reliabilitymentioning

confidence: 99%

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

et al. 2020

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“…Most intelligence developed and used by the organisations of which the interviewees were part was open-source (OSINT). Despite its merits (for instance, it is commonly recognised as a resource-effective approach, and data obtained through it can be shared easily and legally with anyone), OSINT also has major limitations, in primis, the risk of information overload, cognitive biases, and the potential poor quality and credibility of its results (Weir 2016). Indepth analyses are often available only for ad hoc species, with external resources available for a full consultancy on specific taxa and their trade.…”

Section: Lack Of Comprehensive and Reliable Datasetsmentioning

confidence: 99%

Studying Illegal Online Trades in Plants: Market Characteristics, Organisational and Behavioural Aspects, and Policing Challenges

Lavorgna

Sajeva

2020

Eur J Crim Policy Res

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Illegal commerce in plants and their derivatives threatens and destroys numerous species and important natural resources, and may cause phytosanitary and health problems. This illegal trade, which has been boosted by the commercialisation of the Internet, has been relatively overlooked in criminological research. Furthermore, the policing of illegal plant markets remains limited and poorly resourced, with law enforcement agencies lacking awareness and technical capacity in investigation and prosecution services. Based on semi-structured interviews with law enforcement officers and other relevant experts, this study, developed in the context of the ESRC-funded project "FloraGuard: Tackling the illegal trade in endangered plants" offers an analysis of the characteristics of illegal online trading in plants and of the actors operating therein, of current policing practices, and identification of the main challenges to be addressed to better assist law enforcement. It concludes by offering practical recommendations to curb this illegal market.

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Building Human Systems of Trust in an Accelerating Digital and AI-Driven World

Walter

2022

Front. Hum. Dyn.

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The Limitations of Automating OSINT: Understanding the Question, Not the Answer

Cited by 5 publications

References 24 publications

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

Studying Illegal Online Trades in Plants: Market Characteristics, Organisational and Behavioural Aspects, and Policing Challenges

Building Human Systems of Trust in an Accelerating Digital and AI-Driven World

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