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Schneier on Security wrote the following post Mon, 14 Jul 2025 21:46:05 +0300

Report from the Cambridge Cybercrime Conference

🔗 Report from the Cambridge Cybercrime Conference

The Cambridge Cybercrime Conference was held on 23 June. Summaries of the presentations are here.

Source:https://twinkle.lol/display/59b49a2a-cd5b-46fd-9b15-75c5562f3612

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Session 1: Trust, Identity, and Communication in Cybercriminal Ecosystems

Roy Ricaldi— From trust to trade: Uncovering the trust-building mechanisms supporting cybercrime markets on Telegram

Roy is researching trust and cybercrime, and how this is built on Telegram. Cybercrime markets rely on trust to function, and there is existing literature on this topic for forums. Forums have structured systems, such as reputation and escrow, whereas Telegram is more ephemeral, but still used for trading. Roy asks how trust established in this volatile, high-risk environment? Economic theory states without trust, markets can fail.

Roy starts by exploring the market segments found, looking at trust signals, and how frequently users are exposed to these trust systems. Roy notes chat channels can have significant history, and while trust signals exists, users may not be likely to find older trust signals easily. They built a snowballing and classification pipeline, to collect over 1 million messages from 167 telegram communities. Later, they developed a framework, for measuring and simulating trust signals. Findings showed market segments were highly thematic within communities, and trust signals. They used DeepseekV3 for classification, which detected trust signals and market segments with highest accuracy. They found an uneven distribution of trust signals across market segments. For example, piracy content is free so trust signals were low.

They find messages asking for use of escrow, or asking other to “vouch” for sellers. Some of these communities have moderators which would set rules around types of messages. After looking at the distribution, they ran a simulation to see how many signals the users were exposed to. Setup profiles of market segments, communities visited and messages read. They found 70% of users see 5 or less trust signals in their simulation, and all users see at least 1. Over time, these do evolve with digital infrastructure forming a larger peak. They note the importance of understanding how trust works on Telegram, to help find the markets that matter and can cause harm.