OCR Meets the Dark Web: Identifying the Content Type Regarding Illegal and Cybercrime
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8024-6_16
Reference17 articles.
1. Kaur, S., Randhawa, S.: Dark web: a web of crimes. Wirel. Pers. Commun. 112, 2131–2158 (2020)
2. He, S., He, Y., Li, M.: Classification of illegal activities on the dark web. In: Proceedings of the 2nd International Conference on Information Science and Systems, Tokyo, Japan, pp. 73–78 (2019)
3. Lecture Notes in Electrical Engineering;R Rawat,2021
4. Laferrière, D., Décary-Hétu, D.: Examining the uncharted dark web: trust signalling on single vendor shops. Deviant Behav. 44(1), 37–56 (2023)
5. Turk, K., Pastrana, S., Collier, B.: A tight scrape: methodological approaches to cybercrime research data collection in adversarial environments. In: 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Genoa, Italy, pp. 428–437. IEEE (2020)
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