CoVerD: Community-Based Vertex Defense Against Crawling Adversaries
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-93409-5_30
Reference25 articles.
1. Abrahamsson, O.: Hide and seek in a social network. Master’s thesis, Linköping University, Sweden (2017)
2. Areekijseree, K., Laishram, R., Soundarajan, S.: Max-node sampling: an expansion-densification algorithm for data collection. In: IEEE International Conference on Big Data (2016)
3. Areekijseree, K., Laishram, R., Soundarajan, S.: Guidelines for online network crawling: a study of data collection approaches and network properties. In: Proceedings of the 10th ACM Conference on Web Science (2018)
4. Avram, M.V., Mishra, S., Parulian, N.N., Diesner, J.: Adversarial perturbations to manipulate the perception of power and influence in networks. In: 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE (2019)
5. Bai, Q., Xiong, G., Zhao, Y., He, L.: Analysis and detection of bogus behavior in web crawler measurement. Proc. Comput. Sci. 31, 1084–1091 (2014)
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