CrimeBB

Pastrana, Sergio; Thomas, Daniel; Hutchings, Alice; Clayton, Richard

doi:10.1145/3178876.3186178

Cited by 78 publications

(36 citation statements)

References 30 publications

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“…We also observe 35 images showing Bitcoin exchanges. The exchange of Amazon Gift Cards on underground forums has increased in recent years [27]. We observe similar patterns in eWhoring.…”

Section: Discussionsupporting

confidence: 68%

“…We use the CrimeBB dataset [27] which contains data scraped from 15 different underground forums, and is available from the Cambridge Cybercrime Centre 1 . One of the forums is Hackforums, the largest English-language underground forum.…”

Section: Datasetmentioning

confidence: 99%

“…The heuristics are formed through our expertise in analysing forum data [19,25,27]. Concretely, for each thread we account for keywords frequently observed in TOP headings such as 'images', 'video' or 'unsaturated'.…”

Section: Extracting Threads Offering Packsmentioning

confidence: 99%

“…To analyse the interests of forum users, we follow a similar approach used in previous work [25,27]. We leverage various categories defined in Hackforums (e.g., Hacking, Coding, Marketplace, etc.…”

Section: Social Network and Feature Extractionmentioning

confidence: 99%

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Measuring eWhoring

Pastrana

Hutchings

Thomas

et al. 2019

Proceedings of the Internet Measurement Conference

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eWhoring is the term used by offenders to refer to a type of online fraud in which cybersexual encounters are simulated for financial gain. Perpetrators use social engineering techniques to impersonate young women in online communities, e.g., chat or social networking sites. They engage potential customers in conversation with the aim of selling misleading sexual material-mostly photographs and interactive video shows-illicitly compiled from third-party sites. eWhoring is a popular topic in underground communities, with forums acting as a gateway into offending. Users not only share knowledge and tutorials, but also trade in goods and services, such as packs of images and videos. In this paper, we present a processing pipeline to quantitatively analyse various aspects of eWhoring. Our pipeline integrates multiple tools to crawl, annotate, and classify material in a semi-automatic way. It builds in precautions to safeguard against significant ethical issues, such as avoiding the researchers' exposure to pornographic material, and legal concerns, which were justified as some of the images were classified as child exploitation material. We use it to perform a longitudinal measurement of eWhoring activities in 10 specialised underground forums from 2008 to 2019. Our study focuses on three of the main eWhoring components: (i) the acquisition and provenance of images; (ii) the financial profits and monetisation techniques; and (iii) a social network analysis of the offenders, including their relationships, interests, and pathways before and after engaging in this fraudulent activity. We provide recommendations, including potential intervention approaches. CCS CONCEPTS • Security and privacy → Social engineering attacks; Social network security and privacy; • Social and professional topics → Financial crime.

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“…We also observe 35 images showing Bitcoin exchanges. The exchange of Amazon Gift Cards on underground forums has increased in recent years [27]. We observe similar patterns in eWhoring.…”

Section: Discussionsupporting

confidence: 68%

Section: Datasetmentioning

confidence: 99%

Section: Extracting Threads Offering Packsmentioning

confidence: 99%

Section: Social Network and Feature Extractionmentioning

confidence: 99%

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Measuring eWhoring

Pastrana

Hutchings

Thomas

et al. 2019

Proceedings of the Internet Measurement Conference

Self Cite

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“…4) Underground forum posts that contain discussions taking place in some underground forums used by hackers and cyber criminals. For this data source, we used a database from the Cambridge Cybercrime Centre at the University of Cambridge [20]. This data source was used to gain insights into the terms that are usually used among cyber criminals.…”

Section: Building Cyber Security Datasetmentioning

confidence: 99%

Building Taxonomies based on Human-Machine Teaming

Mahaini

Sağlam

2019

Proceedings of the 14th International Conference on Availability, Reliability and Security

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Taxonomies and ontologies are handy tools in many application domains such as knowledge systematization and automatic reasoning. In the cyber security field, many researchers have proposed such taxonomies and ontologies, most of which were built based on manual work. Some researchers proposed the use of computing tools to automate the building process, but mainly on very narrow sub-areas of cyber security. Thus, there is a lack of general cyber security taxonomies and ontologies, possibly due to the difficulties of manually curating keywords and concepts for such a diverse, inter-disciplinary and dynamically evolving field. This paper presents a new human-machine teaming based process to build taxonomies, which allows human experts to work with automated natural language processing (NLP) and information retrieval (IR) tools to co-develop a taxonomy from a set of relevant textual documents. The proposed process could be generalized to support non-textual documents and to build (more complicated) ontologies as well. Using the cyber security as an example, we demonstrate how the proposed taxonomy building process has allowed us to build a general cyber security taxonomy covering a wide range of data-driven keywords (topics) with a reasonable amount of human effort.

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2020

Security Engineering

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CrimeBB

Cited by 78 publications

References 30 publications

Measuring eWhoring

Measuring eWhoring

Building Taxonomies based on Human-Machine Teaming

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