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Data collecting tool from the open-source datasets
Kříž, Petr ; Martinásek, Zdeněk (referee) ; Gerlich, Tomáš (advisor)
The thesis examines the field of intelligence disciplines in detail, with an emphasis on open source intelligence (OSINT). The thesis includes a detailed description of the intelligence cycle, including an analysis of the different phases of the cycle. Furthermore, the theoretical part of the thesis provides a overview of the social network Instagram from an OSINT perspective. This includes a description of the types of data available on this platform and the methods that are used to collect it. The practical part then demonstrates the design and implementation of an open data monitoring tool on Instagram. This tool is designed to monitor public posts and comments on Instagram. The main output of this thesis is a functional tool that not only collects data but is also able to visualize this data effectively.
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Open data gathering and how to use it in cybersecurity
Gašparová, Marta ; Malina, Lukáš (referee) ; Paučo, Daniel (advisor)
This thesis deals with Data Gathering from Open Sources which can be used in Cyber Security; an analysis of the OSINT tools; a creation of a Data Gathering Tool itself. The theoretical part of the thesis explores Data Gathering within the framework of Ethical Hacking and in which phase of Penetration Testing the Data Extraction is crucial. Following the analysis of the OSINT tools the Practical part of the thesis examines the Created Tool itself which was written in Python programming language. Via API interface the Tool allows interaction with other OSINT tools such as Censys, crt.sh or DNSDumpster. After entering the IP address or domain of the target company the Tool is able to search for basic information such as location, DNS names and running services. Based on the target URL the Tool is able to show both present and absent HTTP security headers on the given website and also based on the entered domain it can search for SSL/TLS certificates, subdomains and emails of the target company.
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Information Privacy and Open-source Intelligence
Kubíčková, Dita ; Loutocký, Pavel (referee) ; Míšek, Jakub (advisor)
The bachelor thesis deals with the issue of privacy and information privacy on the Internet. The theoretical part of the thesis describes main typologies and concludes the value of information privacy and why is it important to protect it. It presents technical tools and legal regulations used for protection. It also deals with an issue of OSINT and presents some techniques and tools for person‘s information gathering. In practical part of the thesis, there is described the development and functions provided by the application for automated information gathering from social networks.
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Non-security of the Czech Army's soldiers on social networks
Kulhánek, Jan ; Ludvík, Jan (advisor) ; Kučera, Tomáš (referee)
The aim of this thesis is to examine the risk of the Czech Army not being properly secure on social networks, the behaviour of its uniformed members and their positive identification of social networking sites. The Russian aggression in the Ukraine and the hacking of Czech medical facilities have once again brought up the importance of cybersecurity and the role that it plays in the modern world, with the human factor being positively identified as the weakest link in security. This case study seeks to define the ideal types of soldier behaviour on social media and to analyse the potential risks that each type poses. To this end, this thesis first presents information necessary to fully understand the vast topic of cybersecurity on social media. Next, it defines several ideal types and their building blocks, in order to categorize the social media accounts of soldiers it later analyses. The author concludes that each defined ideal type has inherently problematic behaviours associated with it and carries with it a level of risk for the Army of the Czech Republic. However, the present user and family member ideal types were found to be the riskiest. Key words OSINT, SOCMINT, NATO, Czech Armed Forces, Cybersecurity, Security, Social media, Ideal type analysis, Social engineering Title The insecurity...
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MLOSINT: Classifying Vehicle Losses in Ukraine
Kanát, Antonín ; Špelda, Petr (advisor) ; Střítecký, Vít (referee)
This thesis explores the potential of applying machine learning (ML) to assist with open source intelligence (OSINT) analysis. As the shared input of both disciplines, data is the primary lens through which the topic is examined. To understand the entire process of deploying an ML model from data collection to analysis, an image classifier of Russian vehicle losses in the invasion of Ukraine was trained and tested. Trained on a dataset of over 50,000 labelled images from the WarSpotting database, the classifier achieved a decent accuracy of 79% on evaluation data on the five most populous categories of images. On testing data from a later period, the performance dropped to 62%. One explanation offered is that the static frontlines and the prominence of drones led to most of the recent imagery being aerial, while the training data was captured mainly from the ground. That result demonstrated how inevitable changes, even in seemingly well-curated data, can lead to the low performance of ML models in deployment. Beyond changes on the battlefield, deeper data issues came to light, including the cascading effects of early data management decisions and dataset imbalance. Overall, current image classification methods do not work well on the noisy data available.
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Combatants, civilians, activists or journalists? The role-orientation of citizen OSINT investigators in participative warfare in Ukraine
Hindrichs, Nils Benjamin ; Dimitrov, Michal (advisor) ; Neag, Annamária (referee)
The 2022 Russian invasion of Ukraine has given rise to an unprecedented scale of so-called citizen OSINT investigations. Private citizens from all over the world, organizing online, use publicly available information and data such as satellite imagery, social media, or flight tracking, to investigate human-rights violations, war crimes, misinformation campaigns and troop movements. But what is their role in a context of participative war? Through seven semi- structured interviews, this thesis explores and maps the role-orientation of citizen OSINT investigators in the context of the war in Ukraine, finding that they specifically value and try to follow self-imposed rules of verification, impartiality and responsibility towards themselves and others. Bringing together specialized skills, knowledge, and routines, the findings also point towards a community that consists of "unprofessional professionals", bringing about a comparative advantage of the citizen OSINT community over legacy media. Moreover, based on the interviews, a typology of four different but intersecting cognitive role-orientations is suggested, contributing to the exploration of a phenomenon that yet needs to be examined academically. Keywords OSINT, open-source intelligence, citizen journalism, participative war, journalistic...
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Testování zabezpečení a výpočetních prostředků Jihočeské univerzity
URBÁNEK, Jan
The bachelor's thesis focuses on determining the current state of security of computing resources and the overall technical security at the University of South Bohemia. To determine this state, intelligence gathering and vulnerability analysis of web-application servers is performed, and a questionnaire is created to determine the level of technical security among students. The aim of the bachelor thesis is to compare this information with world-famous security methodologies and to propose changes to improve the cyberspace at JCU.
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Open-source Intelligence in the Czech Media Landscape
Bartoš, Vojtěch ; Hroch, Miloš (advisor) ; Miessler, Jan (referee)
This thesis maps out the use of open-source intelligence in the Czech media landscape. Given the interdisciplinary nature of the field, a broad theoretical foundation introducing concepts such as Web 2.0, participatory culture, alternative media or the open-source movement is presented. Furthermore, the theoretical part of the thesis includes a classification of basic open-source intelligence techniques and raises an example of an organisation producing open-source intelligence reports. The empirical part of this thesis utilised a mixed approach of both qualitative and quantitative research methods. First, a quantitative analysis of Twitter posts categorised as written in Czech mentioning the keyword 'osint' published from May 2014 to March 2022 was realised. Results indicate a growth in the topic's popularity in Czech internet discourse and suggest a causality between the 2022 Russian invasion of Ukraine and a rising interest in open-source intelligence techniques. The qualitative part of the research makes use of semi-structured in-depth interviews conducted with 5 prominent Czech media actors using open-source intelligence in their media production process. The gathered data was subsequently analysed using the grounded theory. The results provide a comprehensive list of Czech-specific sources...
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Open data gathering and how to use it in cybersecurity
Gašparová, Marta ; Malina, Lukáš (referee) ; Paučo, Daniel (advisor)
This thesis deals with Data Gathering from Open Sources which can be used in Cyber Security; an analysis of the OSINT tools; a creation of a Data Gathering Tool itself. The theoretical part of the thesis explores Data Gathering within the framework of Ethical Hacking and in which phase of Penetration Testing the Data Extraction is crucial. Following the analysis of the OSINT tools the Practical part of the thesis examines the Created Tool itself which was written in Python programming language. Via API interface the Tool allows interaction with other OSINT tools such as Censys, crt.sh or DNSDumpster. After entering the IP address or domain of the target company the Tool is able to search for basic information such as location, DNS names and running services. Based on the target URL the Tool is able to show both present and absent HTTP security headers on the given website and also based on the entered domain it can search for SSL/TLS certificates, subdomains and emails of the target company.
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Information Privacy and Open-source Intelligence
Kubíčková, Dita ; Loutocký, Pavel (referee) ; Míšek, Jakub (advisor)
The bachelor thesis deals with the issue of privacy and information privacy on the Internet. The theoretical part of the thesis describes main typologies and concludes the value of information privacy and why is it important to protect it. It presents technical tools and legal regulations used for protection. It also deals with an issue of OSINT and presents some techniques and tools for person‘s information gathering. In practical part of the thesis, there is described the development and functions provided by the application for automated information gathering from social networks.
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