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Titlebook: Surrogate-Based Modeling and Optimization; Applications in Engi Slawomir Koziel,Leifur Leifsson Book 2013 Springer Science+Business Media N

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Ana Rodríguez,Jordi Selga,Ferran Martín,Vicente E. Boriancluding ., and select three common alert aggregation algorithms to perform a comparative test in a simulated real-time situation. The experiment shows that our approach achieves more than 98% aggregation rate, reduces data complexity by more than 82%, and has stronger robustness.
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José Ernesto Rayas-Sánchezard BFT consensus mainly consists of a two-phase consensus mechanism after performing network sharding. In the first phase, Raft consensus is first adopted within each shard, in which a leader is elected. In the second phase, those leaders from all shards form a committee and perform a committee-wis
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Sara Grundel,Nils Hornung,Bernhard Klaassen,Peter Benner,Tanja Cleesage mainly analyzes five kinds of DNS tunnel behaviors and classifies them with machine learning methods. Finally, more than 50 millions normal DNS sessions traffic is collected from the real network environment, and tunnel traffic is produced by DNS covert tunnel tools. Through experiments, using t
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Yi Zhang,Serhat Hosderintroduce three new measures based on the effective spreading rate to evaluate the robustness. Then, we further study the relation between network topology and the three measures. Our results are helpful in designing robust communication networks according to the new robustness measures.
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