With the rapidly developing of Internet of Things (IoT), the volume ofdata generated by IoT systems is increasing quickly. To release the pressure ofdata management and storage, more and more enterprises and individua...With the rapidly developing of Internet of Things (IoT), the volume ofdata generated by IoT systems is increasing quickly. To release the pressure ofdata management and storage, more and more enterprises and individuals preferto integrate cloud service with IoT systems, in which the IoT data can be outsourced to cloud server. Since cloud service provider (CSP) is not fully trusted,a variety of methods have been proposed to deal with the problem of data integritychecking. In traditional data integrity audition schemes, the task of data auditing isusually performed by Third Party Auditor (TPA) which is assumed to be trustful.However, in real-life TPA is not trusted as people thought. Therefore, theseschemes suffer from the underlying problem of single-point failure. Moreover,most of the traditional schemes are designed by RSA or bilinear map techniqueswhich consume heavy computation and communication cost. To overcome theseshortcomings, we propose a novel data integrity checking scheme for cloud-IoTdata based on blockchain technique and homomorphic hash. In our scheme, thetags of all data blocks are computed by a homomorphic hash function and storedin blockchain. Moreover, each step within the process of data integrity checking issigned by the performer, and the signatures are stored in blockchain through smartcontracts. As a result, each behavior for data integrity checking in our scheme canbe traced and audited which improves the security of the scheme greatly. Furthermore, batch-audition for multiple data challenges is also supported in our scheme.We formalize the system model of our scheme and give the concrete construction.Detailed performance analyses demonstrate that our proposed scheme is efficientand practical without the trust-assumption of TPA.展开更多
传统实训室资源管理存在资源闲置、管理效率低下等问题,不仅影响了课堂教学的高效开展,更制约了学生创新能力的培养。因此,文章提出了基于物联网(Internet of Things,IoT)的实训室资源智能调度管理系统,详细设计了IoT资源智能调度管理平...传统实训室资源管理存在资源闲置、管理效率低下等问题,不仅影响了课堂教学的高效开展,更制约了学生创新能力的培养。因此,文章提出了基于物联网(Internet of Things,IoT)的实训室资源智能调度管理系统,详细设计了IoT资源智能调度管理平台,搭建了IoT三层体系架构,并采用消息队列遥测传输(Message Queuing Telemetry Transport,MQTT)协议搭建了管理系统云平台。测试结果表明,服务器端可及时接收客户端访问请求并响应处理结果,整体表现良好;部分线段存在一定的延迟属于正常现象,既可能是服务器处理并发程序速度较慢导致,也可能由网络波动引起。展开更多
基金supported by Program for Scientific Research Foundation for Talented Scholars of Jinling Institute of Technology(No.JIT-B-202031)H.Yan received it and the URLs is www.jit.edu.cn.H.Yan also received the Opening Foundation of Fujian Provincial Key Laboratory of Network Security and Cryptology Research Fund of Fujian Normal University(NSCL-KF2021-02)and the URLs is www.fjnu.edu.cn.Y.Liu received the funding of the National Natural Science Foundation of China(No.61902163,)the URLs is www.nsfc.gov.cn.S.Hu received the funding of the Science and Technology Project of Education Department in Jiangxi Province(No.GJJ201402)and the URLs is www.gnnu.cn.
文摘With the rapidly developing of Internet of Things (IoT), the volume ofdata generated by IoT systems is increasing quickly. To release the pressure ofdata management and storage, more and more enterprises and individuals preferto integrate cloud service with IoT systems, in which the IoT data can be outsourced to cloud server. Since cloud service provider (CSP) is not fully trusted,a variety of methods have been proposed to deal with the problem of data integritychecking. In traditional data integrity audition schemes, the task of data auditing isusually performed by Third Party Auditor (TPA) which is assumed to be trustful.However, in real-life TPA is not trusted as people thought. Therefore, theseschemes suffer from the underlying problem of single-point failure. Moreover,most of the traditional schemes are designed by RSA or bilinear map techniqueswhich consume heavy computation and communication cost. To overcome theseshortcomings, we propose a novel data integrity checking scheme for cloud-IoTdata based on blockchain technique and homomorphic hash. In our scheme, thetags of all data blocks are computed by a homomorphic hash function and storedin blockchain. Moreover, each step within the process of data integrity checking issigned by the performer, and the signatures are stored in blockchain through smartcontracts. As a result, each behavior for data integrity checking in our scheme canbe traced and audited which improves the security of the scheme greatly. Furthermore, batch-audition for multiple data challenges is also supported in our scheme.We formalize the system model of our scheme and give the concrete construction.Detailed performance analyses demonstrate that our proposed scheme is efficientand practical without the trust-assumption of TPA.
