상세정보
등록 집단 지능 기반의 악의적 기기 탐지 방법
- 출원번호
- 15920114 (2018.03.13)
- 공개번호
- 20180343275 (2018.11.29)
- 등록번호
- 10798115 (2020.10.06)
- 출원국
- 미국
- 협약과제
- 16MH4600, (IoT 운영체제-총괄) 스마트 경량 IoT 기기용 운영체제 보안 핵심 기술 개발, 김정녀
- 초록
- 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.
- KSP 제안 키워드
- Device Detection, Local information, Management server, Optimal Solution, Security Management, Swarm intelligence, information set
- 패밀리
| 구분 | 특허 | 출원국 | KIPRIS |
|---|---|---|---|
| 등록 | 집단 지능 기반 악의적 기기 탐지 장치 및 방법 | 대한민국 | KIPRIS |