The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
소셜 네트워킹 개념을 사물 인터넷에 통합함으로써 SIoT(소셜 사물 인터넷) 패러다임이 탄생했으며, SIoT에서 상호 작용을 확보하려면 신뢰 평가가 필수적입니다. SIoT에서는 리소스가 제한된 노드가 예상치 못한 악성 서비스 및 악성 추천에 대응할 경우 신뢰 평가가 부정확할 가능성이 높으며 기존 아키텍처는 개인정보 유출 위험이 있습니다. 본 논문에서는 SIoT의 엣지-클라우드 협업 신뢰 평가 아키텍처를 제안합니다. 클라우드와 엣지의 리소스 이점을 활용하여 신뢰 평가 작업을 공동으로 완료합니다. SIoT에서 이웃 노드의 신뢰성을 평가하기 위해 노드 간 관계 친밀도 평가 알고리즘을 설계했습니다. 악의적 행위 식별의 민감도를 높이기 위해 신뢰 가치의 변동과 신뢰 지표 간의 충돌을 고려하여 민감도가 향상된 신뢰 컴퓨팅 알고리즘을 제안합니다. 시뮬레이션 결과는 기존 방법과 비교하여 제안된 신뢰 평가 방법이 악성 서비스 및 악성 추천을 처리할 때 상호 작용 성공률을 효과적으로 향상시키고 오탐지율을 줄일 수 있음을 보여줍니다.
Peng YANG
Chongqing University of Posts and Telecommunications,MIIT
Yu YANG
Chongqing University of Posts and Telecommunications
Puning ZHANG
Chongqing University of Posts and Telecommunications
Dapeng WU
Chongqing University of Posts and Telecommunications
Ruyan WANG
Chongqing University of Posts and Telecommunications
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부
Peng YANG, Yu YANG, Puning ZHANG, Dapeng WU, Ruyan WANG, "Sensitivity Enhanced Edge-Cloud Collaborative Trust Evaluation in Social Internet of Things" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 9, pp. 1053-1062, September 2022, doi: 10.1587/transcom.2021EBP3130.
Abstract: The integration of social networking concepts into the Internet of Things has led to the Social Internet of Things (SIoT) paradigm, and trust evaluation is essential to secure interaction in SIoT. In SIoT, when resource-constrained nodes respond to unexpected malicious services and malicious recommendations, the trust assessment is prone to be inaccurate, and the existing architecture has the risk of privacy leakage. An edge-cloud collaborative trust evaluation architecture in SIoT is proposed in this paper. Utilize the resource advantages of the cloud and the edge to complete the trust assessment task collaboratively. An evaluation algorithm of relationship closeness between nodes is designed to evaluate neighbor nodes' reliability in SIoT. A trust computing algorithm with enhanced sensitivity is proposed, considering the fluctuation of trust value and the conflict between trust indicators to enhance the sensitivity of identifying malicious behaviors. Simulation results show that compared with traditional methods, the proposed trust evaluation method can effectively improve the success rate of interaction and reduce the false detection rate when dealing with malicious services and malicious recommendations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3130/_p
부
@ARTICLE{e105-b_9_1053,
author={Peng YANG, Yu YANG, Puning ZHANG, Dapeng WU, Ruyan WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Sensitivity Enhanced Edge-Cloud Collaborative Trust Evaluation in Social Internet of Things},
year={2022},
volume={E105-B},
number={9},
pages={1053-1062},
abstract={The integration of social networking concepts into the Internet of Things has led to the Social Internet of Things (SIoT) paradigm, and trust evaluation is essential to secure interaction in SIoT. In SIoT, when resource-constrained nodes respond to unexpected malicious services and malicious recommendations, the trust assessment is prone to be inaccurate, and the existing architecture has the risk of privacy leakage. An edge-cloud collaborative trust evaluation architecture in SIoT is proposed in this paper. Utilize the resource advantages of the cloud and the edge to complete the trust assessment task collaboratively. An evaluation algorithm of relationship closeness between nodes is designed to evaluate neighbor nodes' reliability in SIoT. A trust computing algorithm with enhanced sensitivity is proposed, considering the fluctuation of trust value and the conflict between trust indicators to enhance the sensitivity of identifying malicious behaviors. Simulation results show that compared with traditional methods, the proposed trust evaluation method can effectively improve the success rate of interaction and reduce the false detection rate when dealing with malicious services and malicious recommendations.},
keywords={},
doi={10.1587/transcom.2021EBP3130},
ISSN={1745-1345},
month={September},}
부
TY - JOUR
TI - Sensitivity Enhanced Edge-Cloud Collaborative Trust Evaluation in Social Internet of Things
T2 - IEICE TRANSACTIONS on Communications
SP - 1053
EP - 1062
AU - Peng YANG
AU - Yu YANG
AU - Puning ZHANG
AU - Dapeng WU
AU - Ruyan WANG
PY - 2022
DO - 10.1587/transcom.2021EBP3130
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2022
AB - The integration of social networking concepts into the Internet of Things has led to the Social Internet of Things (SIoT) paradigm, and trust evaluation is essential to secure interaction in SIoT. In SIoT, when resource-constrained nodes respond to unexpected malicious services and malicious recommendations, the trust assessment is prone to be inaccurate, and the existing architecture has the risk of privacy leakage. An edge-cloud collaborative trust evaluation architecture in SIoT is proposed in this paper. Utilize the resource advantages of the cloud and the edge to complete the trust assessment task collaboratively. An evaluation algorithm of relationship closeness between nodes is designed to evaluate neighbor nodes' reliability in SIoT. A trust computing algorithm with enhanced sensitivity is proposed, considering the fluctuation of trust value and the conflict between trust indicators to enhance the sensitivity of identifying malicious behaviors. Simulation results show that compared with traditional methods, the proposed trust evaluation method can effectively improve the success rate of interaction and reduce the false detection rate when dealing with malicious services and malicious recommendations.
ER -