Open AccessONS resolution prediction based on Rasch model
Author(s) -
Hu Qing Wang,
XiaTing Feng,
Wen Bing Zhao,
Zhi Xin Sun
Publication year - 2019
Publication title -
mathematical biosciences and engineering
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2019333
Subject(s) - computer science , rasch model , identifier , computer security , resolution (logic) , field (mathematics) , object (grammar) , code (set theory) , internet of things , function (biology) , data science , data mining , set (abstract data type) , artificial intelligence , computer network , statistics , mathematics , evolutionary biology , pure mathematics , biology , programming language
IoT (Internet of Things) involves a wide range of fields, and its application scenarios are complex and diverse. Failure of security defense in any link of IoT may lead to huge information leakage and immeasurable losses. IoT security problem is affecting and restricting its application prospect, and has become one of the hotspots in the field of IoT. ONS (Object Naming Service) is responsible for mapping function from EPC code information to URI (Uniform Resource Identifier). The security mechanism of ONS has been extensively studied by more and more scholars in recent years. The purpose of this paper is to apply Rasch, a famous psychological model, to ONS resolution security technology. Through observing the past resolution result, the ability of ONS resolution and the difficulty of EPC code can be calculated. With the difference between the ability of ONS resolution and the difficulty of EPC code, this model can predict the probability of the ONS future resolution to achieve the purpose of privacy protection in IoT addressing. Through simulation and Ministep software, the feasibility of the model is verified.