Decentralized Robot Swarm Clustering: Adding Resilience to Malicious Masquerade Attacks

Author:

Gandhe Mitali,Otte Michael

Publisher

Springer International Publishing

Reference21 articles.

1. Anikin, I.V., Gazimov, R.M.: Privacy preserving DBSCAN clustering algorithm for vertically partitioned data in distributed systems. In: 2017 International Siberian Conference on Control and Communications (SIBCON), pp. 1–4. IEEE (2017)

2. Ben Salem, M.: Towards effective masquerade attack detection (2012). https://academiccommons.columbia.edu/doi/10.7916/D8J96DBT

3. Dasgupta, S., Frost, N., Moshkovitz, M., Rashtchian, C.: Explainable k-means and k-medians clustering. In: Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, pp. 12–18 (2020)

4. Gil, S., Kumar, S., Mazumder, M., Katabi, D., Rus, D.: Guaranteeing spoof-resilient multi-robot networks. Auton. Robot. 41(6), 1383–1400 (2017)

5. Götz, M., Bodenstein, C., Riedel, M.: HPDBSCAN: highly parallel DBSCAN (2015)

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