A Secure and Efficient kNN Classification Algorithm Using Encrypted Index Search and Yao’s Garbled Circuit over Encrypted Databases

Kim, Hyeong-Jin; Shin, JaeHwan; Chang, Jae-Woo

doi:10.1007/978-3-030-03192-3_3

Cited by 2 publications

(1 citation statement)

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“…Main strategies and approaches to building of large-scale information systems have been developed for a long time (Marcinkowski & Gawin, 2016) to meet ever-changing market needs. For instance, cloud technologies (Nguyen & Luc, 2018), sensors and intelligent control systems (Vlasov, Grigoriev, Krivoshein, Shakhnov, Filin, & Migalin, 2018;Vlasov, Echeistov, Krivoshein, Shakhnov, Filin, & Migalin, 2018)…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable project management for multi-agent development of enterprise information systems

Batkovskiy¹,

Kurennykh²,

Семенова³

et al. 2019

JESI

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The paper includes a review of processes in managerial decision-making based on results of multi-agent simulation in development of enterprise information systems. Authors have proposed the multi-agent model, within which agents' actions depend on a hybrid function of preferences. On this basis, authors have formalized the method, with which it is possible to evaluate agents' judgments. The method combines qualitative, quantitative and fuzzy approaches provide by the decision-making theory and the idea of the criteria space divided into sectors. The synthesis of these approaches has made it possible to lower subjective uncertainty inherent in shared managerial decision making. For the multi-agent model, they have drafted event processing algorithms and identified criteria to evaluate simulation results necessary to support decision making in order to identify the most effective option in development of enterprise information system. Authors have also introduced a methodology-related toolkit in the form of software, including the multi-agent model, decision system and optimization module.

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