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논문검색

스마트융합콘텐츠 논문지

e-ISSN : 2951-2514

합성 신경망을 이용한 AIoT 에지 네트워크 환경의 최적화된 IoT 리소스 안정화 모델
연도 : 2023
vol / no : 2 / 3
저자 : 정윤수
page : 29-36

AIoT 에지 네트워크 환경은 IoT 장치가 다양(기능 및 성능 등)해지면서 IoT 장치로부터 수집된 리소스를 안정적으로 처리하기가 매우 어려운 상황이다. 특히, 네트워크 공격, 관리자 에러 처리, 서비스 오류 등과 같은 위험 요소 및 자연재해 등에서는 IoT 리소스의 무결성을 보장받지 못한다. 본 논문에서는 AIoT 네트워크 환경에서 송수신되는  IoT  리소스를 특징별로 분리하여 검증하는 최적화된  관리 모델을 제안한다. 제안 모델은 IoT 리소스의 무결성을 보장하기 위해서 블록체인 기술을 적용하였다. IoT 리소스는 블록체인으로 IoT 리소스를 동적으로 연계한 후 비대칭적으로 해시 처리한다. 이때, IoT 리소스를 비대칭적으로 처리하는 이유는 IoT 리소스의 오류를 최소화하기 위해서이다. 성능평가 결과, 제안 모델은 IoT Edge리소스 검증 시간이 평균 8.1% 향상되었으며, IoT 리소스의 블록체인 크기가 증가할수록 무결성 검증 지연이 평균 10.3% 낮게 나타났다.  그리고, 그룹핑 된 IoT 리소스 수가 증가할수록 IoT 리소스의 오버헤드는 평균 14.2% 증가하였다.


In the AIoT edge network environment, it is very difficult to stably process resources collected from IoT devices as IoT devices become diverse (function and performance, etc.). In particular, the integrity of IoT resources is not guaranteed in risk factors and natural disasters such as network attacks, manager error handling, service errors, etc. This paper proposes an optimized management model that separates and verifies IoT resources transmitted and received in an AIoT network environment by feature. The proposed model applied blockchain technology to ensure the integrity of IoT resources. IoT resources dynamically link IoT resources with blockchain and then hash them asymmetrically. In this case, the reason for asymmetrically processing IoT resources is to minimize errors in IoT resources. As a result of the performance evaluation, the proposed model improved IoT Edge resource verification time by 8.1% on average, and the integrity verification delay was 10.3% lower on average as the blockchain size of IoT resources increased. In addition, as the number of grouped IoT resources increased, the overhead of IoT resources increased by an average of 14.2%.


본 게시물에는 총 1개의 첨부파일이 존재합니다.

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