This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a joint visualisation of semantic and temporal features, generating insight into the supplied data on darknet cybercrime through the aspects of novelty, transience, and resonance, which describe the potential impact a message might have on the overall discourse in darknet communities. All code and data produced by us as part of this hackathon is publicly available.
翻译:本技术报告记录了我们为完成2021年网络犯罪职业高级模型(AMOC)Hackathon(网络犯罪职业高级模型)所规定的任务而做出的努力,我们的主要贡献是共同将语义和时间特征视觉化,通过新颖、即时和共鸣等各方面对提供的关于黑网网络犯罪的数据进行深入了解,其中描述了信息可能对黑网社区总体对话的潜在影响,我们作为黑网的一部分制作的所有代码和数据都公开提供。