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Registered APPARATUS AND METHOD FOR DETECTING MALICIOUS DEVICE BASED ON SWARM INTELLIGENCE

집단 지능 기반의 악의적 기기 탐지 방법
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Inventors
Moon Yong Hyuk, Yoon Seung Yong, Kim Dae Won, Han Jin Hee, Kim Young Sae, Lim Jae Deok, Kim Jeong Nyeo, Jeon Yong-Sung
Application No.
15920114 (2018.03.13)
Publication No.
20180343275 (2018.11.29)
Registration No.
10798115 (2020.10.06)
Country
UNITED STATES
Project Code
16MH4600, Development of Operating System Security Core Technology for the Smart Lightweight IoT Devices , Kim Jeong Nyeo
Abstract
Disclosed herein are an apparatus and method for detecting a malicious device based on swarm intelligence. The method includes detecting a malicious device by causing at least one exploration ant to access a device swarm along movement routes in which pheromone trail values are taken into consideration, wherein the exploration ant is generated in response to a detection request received from a security management server, when the at least one exploration ant detects a suspicious device that is suspected to be a malicious device, causing the exploration ant to return along the movement routes in reverse order, and returning pheromone trail values generated by devices on the return movement routes to a malicious device detection apparatus, and identifying whether the suspicious device is the malicious device by calculating an optimal solution based on a local information set generated by aggregating the pheromone trail values returned for movement routes.
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Status Patent Country KIPRIS
Registered APPARATUS AND METHOD FOR DETECTING MALICIOUS DEVICES BASED ON A SWARM INTELLIGENCE KOREA KIPRIS