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IoT-센서망에서 신뢰평가 모델 기반 노드 상호인증

Node Mutual Authentication Based on Trust-Assessment Model in the IoT-Sensor Networks

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키워드

주제분류학제간연구

초록

최근 사물인터넷(IoT) 기술에 대한 관심이 증가되고 있으며 IoT 기술의 핵심은 센서망 기술이다. IoT-센서망은 지그비 망구조가 많이 활용되고 있지만 지그비 IoT-센서망은 특성상 센서 정보의 도청, 비정상적인 패킷의 흐름, 데이터 위∙변조 및 서비스 거부 공격 등과 같은 다양한 보안 위협에 취약점이 존재한다. 하지만 지그비 IoT-센서망은 컴퓨팅 능력이 제한된 자원 환경에서 운용되어야 한다. 따라서 IoT-센서망보안 기술은 경량화 설계에 대한 연구가 반드시 필요하다. 본 논문에서는 적은 보안 연산으로도 안전한 IoT-센서망 구축이 가능한 신뢰평가 모델 기반 IoT-센서망 상호인증 알고리즘을 제안하였다. 제안된 신뢰평가에 의한 인증 알고리즘은 지그비 피코넷에 소속된 ZC-센서 노드 상호간의 직접신뢰 관계를 적용하여 설계되었으며 확률 계산 및 논리 연산 중심으로 노드들의 신뢰평가를 하여 IoT-센서망의 ZC-센서 노드 상호간의 인증을 수행한다. 또한 본 논문에서 제안된 상호인증 알고리즘은 IoT-센서망의 보안안전성 측면에서 비밀성, 익명성, 상호인증, 신선성을 지원 가능하고 신뢰평가모델을 적용함에 따라서 기존 인증 방식보다 경량성을 높일 수 있다. 그리고 센서 노드들의 제한된 배터리 소모를 줄여 IoT-센서망의 안전성 및 생존 기간 연장이 가능할 것이다.

Abstract

Interest in IoT technology is increasing these days, and core of IoT technology is sensor network technology. Although ZigBee network is widely used in IoT-sensor network, it is vulnerable to various security threats such as wiretapping of sensor information, abnormal packet flow, data forgery and denial of service attack. However, ZigBee IoT-sensor networks should operate in resource environments with limited computing capabilities. Therefore, it is imperative that IoT-sensor network security technologies be researched for lightweight design. In this paper proposed an algorithm for mutual authentication of IoT-sensor networks based on a trust assessment model that enables safe IoT-sensor network construction even with small security operations. The proposed trust-based authentication algorithm is designed with direct trust relationships between ZC-Sensor nodes belonging to the ZigBee Pico-Net and performs a trust assessment between nodes based on probability calculation and logic calculation. In addition, the proposed mutual authentication algorithm can support confidentiality, anonymity, mutual authentication and freshness in terms of security safety of the IoT-sensor network and increase the lightweight-ness of the existing authentication methods. And it will be possible to extend safety and survival period of IoT-sensor network by reducing the use of limited batteries in sensor nodes.

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