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1.
对于物联网,本文分析了几个客观物质的特性要求,同时对解决问题的关键性技术进行了调研,并且阐述了通过使用智能对象提升客体服务的问题。  相似文献   

2.
With the development of information technology and economic growth, the Internet of Things (IoT) industry has also entered the fast lane of development. The IoT industry system has also gradually improved, forming a complete industrial foundation, including chips, electronic components, equipment, software, integrated systems, IoT services, and telecom operators. In the event of selective forwarding attacks, virus damage, malicious virus intrusion, etc., the losses caused by such security problems are more serious than those of traditional networks, which are not only network information materials, but also physical objects. The limitations of sensor node resources in the Internet of Things, the complexity of networking, and the open wireless broadcast communication characteristics make it vulnerable to attacks. Intrusion Detection System (IDS) helps identify anomalies in the network and takes the necessary countermeasures to ensure the safe and reliable operation of IoT applications. This paper proposes an IoT feature extraction and intrusion detection algorithm for intelligent city based on deep migration learning model, which combines deep learning model with intrusion detection technology. According to the existing literature and algorithms, this paper introduces the modeling scheme of migration learning model and data feature extraction. In the experimental part, KDD CUP 99 was selected as the experimental data set, and 10% of the data was used as training data. At the same time, the proposed algorithm is compared with the existing algorithms. The experimental results show that the proposed algorithm has shorter detection time and higher detection efficiency.  相似文献   

3.
物联网是什么?物联网不是互联网、传感网、产品电子代码,也不单纯是一种技术应用。物联网将“互联网”和“物”连接在一起,就意味着把破坏性创新引进到当今的信息和通信技术世界。与互联网不同,物联网是物、网络、语义等视角的综合而形成的集网络、应用服务于一体的技术融合系统。在物联网语境中,物联网技术像人一样形成了人为的自主特征。物联网意味着一种潜在的技术异化的环境:个人隐私以多种方式受到威胁。而现有对隐私的制度规约存在诸多的不完备性。  相似文献   

4.
As time went on, technological progress inevitably altered our daily routines. Many new technologies, such as the Internet of Things (IoT) and cryptocurrency, offer revolutionary possibilities. To put it simply, the blockchain is a distributed, public, and auditable database that can be used to record financial transactions. The IoT, or “Internet of Things,” is a system of interconnected electronic devices that can communicate with one another and be remotely monitored and handled. This paper reviews the most recent findings in the field of blockchain and Internet of Things with the goal of examining blockchain as a possible answer to secure IoT data management within supply networks. There is a dearth of literature in the early stages of both blockchain and IoT study because they are such novel topics. The study's findings suggest that in order to improve their leadership quality to intentionally impact employee performance, industry managers should pay attention to human resource management indicators like collaboration, involvement, actualization, perception, and teamwork. This is primarily because of the inherent limitations of IoT devices and the distributed ledger architecture of the blockchain technology. There is potential for IoT to provide many advantages if blockchain capabilities can be optimized for it.  相似文献   

5.
Remote data integrity checking is of great importance to the security of cloud-based information systems. Previous works generally assume a trusted third party to oversee the integrity of the outsourced data, which may be invalid in practice. In this paper, we utilize the blockchain to construct a novel privacy-preserving remote data integrity checking scheme for Internet of Things (IoT) information management systems without involving trusted third parties. Our scheme leverages the Lifted EC-ElGamal cryptosystem, bilinear pairing, and blockchain to support efficient public batch signature verifications and protect the security and data privacy of the IoT systems. The results of the experiment demonstrate the efficiency of our scheme.  相似文献   

6.
徐军 《情报科学》2012,(5):689-692,697
物联网是一种智能网络,是对现实物理世界的感知和互联,其核心是人与人、物与物的交互。物联网实际上就是传感网,物联网是从产业和用户角度来说,但是从技术角度来说,它就是传感网。物联网具有拓展图书馆网络化、数字化信息服务的功能。物联网在图书馆中的应用,是未来图书馆的发展趋势,同时也对图书馆的信息安全问题提出挑战。  相似文献   

7.
国外农业物联网技术发展及对我国的启示   总被引:5,自引:0,他引:5  
随着现代信息技术的发展,物联网已广泛应用于农业生产的各个领域。国际上,一些国家在农业物联网感知技术、数据传输技术、智能处理技术等方面取得了重要的进展,出现了物联网在农业领域的典型应用。这些技术进展和相关应用对我国农业物联网的快速发展具有重要的借鉴意义。文章通过对国外农业物联网技术最新进展的调研和分析,描述了农业物联网在感知技术、数据传输技术、智能处理技术等方面的国际先进经验,例举了国外农业物联网在农业资源监测和利用、农业生态环境监测、农业生产精细管理、农产品安全溯源、农业物联网云服务等领域的典型应用,并针对我国农业物联网技术的发展,在发展微型化传感器、寻求系统节能策略、努力降低传感器成本、传感器网络安全性和抗干扰问题、节点自动配置问题等方面提出了建设性意见。  相似文献   

8.
The Internet of Things (IoT) has sparked a revolution in the manufacturing sector, providing numerous advantages to companies that adopt it. Using IoT, factories can boost productivity, cut expenses, and develop a more sustainable business model. The rise of digital networking and real-time communication are compelling manufacturers to adopt cutting-edge technologies in order to compete in today's fast-paced, international marketplace. The Internet of Things (IoT) to facilitate the virtualization of manufacturing processes and the gathering of real-time data to guarantee seamless supply chain operations. There has been abductive qualitative research done. Case studies of the heavy-duty vehicle sector provided empirical data, while a review of the relevant literature provided the theoretical underpinnings. Information system issues and people and structure issues were cited as barriers to analytics adoption. In this study works on challenges and security of manufacturing. Finally, suitable themes for analysis have been derived using a thematic analysis. The results show that manufacturing firms can benefit from analytics solutions for production activities even if they are not highly automated or complicated. The Internet of Things (IoT) offers numerous opportunities for growth in the business models of manufacturing companies. Businesses can boost efficiency, cut expenses, and develop a more robust business model by implementing IoT. Successfully integrating IoT, however, calls for meticulous preparation and execution.  相似文献   

9.
Recently, a massive amount of position-annotated data is being generated in a stream fashion. Also, massive amounts of static data including spatial features are collected and made available. In the Internet of Things (IoT) environments, various applications can get benefits by utilizing spatial data streams and static data. Therefore, IoT applications typically require stream processing and reasoning capabilities that extract information from low-level data. Particularly for sophisticated stream processing and reasoning, spatiotemporal relationship (SR) generation from spatial data streams and static data must be preceded. However, existing techniques mostly focus solely on direct processing of sensing data or generation of spatial relationships from static data. In this paper, we first address the importance of SRs between spatial data streams and static data and then propose an efficient approach of deriving SRs in real-time. We design a novel R-tree-based index with Representative Rectangles (RRs) called R3 index and devise an algorithm that leverages relationships and distances between RRs to generate SRs. To verify the effectiveness and efficiency of the proposed approach, we performed experiments using real-world datasets. Through the results of the experiments, we confirmed the superiority of the proposed approach.  相似文献   

10.
基于我国物联网产业发展具有代表性的9个省(市)的相关统计数据,构建物联网产业技术研发评价指标体系,运用曼奎斯特(Malmquist)指数方法对2007—2013年间我国物联网产业的技术研发效率进行动态评价。通过研究发现:我国物联网产业技术研发效率较为低下,且各地区研发效率差异较大;技术衰退是导致物联网产业研发效率下降的主要原因。  相似文献   

11.
The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radio-frequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the state-of-the-art communication technologies and smart-based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model of big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data.  相似文献   

12.
自然资源要素综合观测数据具有来源多、类型复杂和数据量庞大等特点,需要建立自然资源要素综合观测一体化平台对数据进行统一管理和利用。本文基于物联网与数据中台技术,构建了自然资源要素综合观测一体化平台,主要包括自然资源要素数据中心、物联网中心和模型云中心三大模块,实现了从传感器终端到数据中台、模型云的自动数据传输和互联共享,以及数值分析、加工和综合应用,达到了可视化效果。为自然资源统一管理、全国重要生态系统保护和修复重大工程规划提供技术支撑。  相似文献   

13.
陈卓  李彦 《科教文汇》2012,(25):50-51
物联网是一个基于互联网和传统电信网等信息承载体,让所有能够被独立寻址的普通物理对象实现互联互通的网络。近年来备受学术界和产业界关注,众多高校也开始尝试开设物联网相关的课程以培养合格的专业人才。本文结合教学实践和科研工作中的体会探讨物联网专业的课程体系规划。  相似文献   

14.
The Internet of Things (IoT) might yield many benefits for organizations, but like other technology adoptions may also introduce unforeseen risks and requiring substantial organizational transformations. This paper analyzes IoT adoption by organizations, and identifies IoT benefits and risks. A Big, Open, Linked Data (BOLD) categorization of the expected benefits and risks of IoT is made by conducting a comprehensive literature study. In-depth case studies in the field of asset management were then executed to examine the actual experienced, real world benefits and risks. The duality of technology is used as our theoretical lens to understand the interactions between organization and technology. The results confirm the duality that gaining the benefits of IoT in asset management produces unexpected social changes that lead to structural transformation of the organization. IoT can provide organizations with many benefits, after having dealt with unexpected risks and making the necessary organizational changes. There is a need to introduce changes to the organization, processes and systems, to develop capabilities and ensure that IoT fits the organization’s purposes.  相似文献   

15.
《Journal of The Franklin Institute》2021,358(18):10232-10249
In this paper, we investigate the physical-layer security for an Internet of Things (IoT) relaying network employing non-orthogonal multiple access (NOMA) in the context of non-linear energy harvesting. In particular, a power-constrained source transmits its confidential information to a destination via an IoT device, which first decodes the received signal and then forwards the decoded data together with its own information using the NOMA technique to their respective destinations, while an eavesdropper is overhearing this transmission. Considering the scenario that both the power-constrained source and the IoT device are assumed to work under non-linear energy harvesting modes, and are capable of harvesting energy from a power beacon with a time switching protocol, both analytical and asymptotic expressions for secrecy outage probability as well as the analytical expression for the probability of strictly positive secrecy capacity are derived. In addition, those expressions are also verified with Monte-Carlo simulations.  相似文献   

16.
物联网业务形态研究   总被引:6,自引:0,他引:6  
物联网是在互联网的基础上延伸出的物与物相连的网络。随着物联网概念的提出,新技术的应用和新产品和服务的普及,一个崭新的物联网时代即将兴起。然而,在即将到来的物联网时代,业务形态具有至关重要的作用,决定着物联网推广的成败。本文不但借鉴了国内外关于物联网业务形态的经验,而且对我国物联网业务形态进行了准确定位,进而推导出了由政府主导、以系统集成商和电信运营商为核心的新型业务形态。  相似文献   

17.
随着云计算、物联网、大数据、移动互联、人工智能、增强现实等新技术的不断涌现,数据量呈指数级增长,催生了新的业务——数据分析。从数据的分类、标准化、质量管理等方面入手,提出基于结合生命周期(lifecycle)、需求层次(need hierarchy)和大数据(big data)技术3种方法的数据(资源)管理三维度的LNB管理方法,探讨数据分析的维度、步骤、工具,及其在现代科技管理中所起关键作用。  相似文献   

18.
The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges.  相似文献   

19.
车联网是物联网技术的典型应用和当前汽车技术发展的重要方向之一,对于解决汽车社会问题、支撑汽车产业升级转型具有重要意义,但是目前中国车联网的产业化普及存在一系列问题。全面阐释中国发展车联网产业的战略意义,综合分析国内外车联网产业的发展现状,从不同维度对中国车联网产业发展进程中存在的政策、技术、标准和商业模式等各方面的瓶颈问题进行深入研究,并在此基础上提出相应的应对策略及具体建议。  相似文献   

20.
天津市农业物联网区域试验工程的实践   总被引:3,自引:0,他引:3  
当前,我国农业高风险、高投入、高产出的格局初步呈现,亟需现代信息技术支撑,实现从传统农业到现代农业的转变。农业物联网作为改变农业、农民、农村的新力量,为此提供了有效选择。为推动农业物联网建设,2013年以来,农业部启动了农业物联网区域试验工程,天津作为三个试点区域之一,主要围绕设施农业与水产养殖开展农业物联网区域试验。文章在介绍天津市区试工程的背景、目标与内容的基础上,总结了天津市区试工程的进展,凝练了其实施特色。总体而言,实施半年以来,天津市区试工程在机制保障、技术选择等方面已进行了很好的尝试,取得了良好的效果,在为其他地区提供有效参考的同时,有力证明了在我国发展农业物联网具有广阔的前景,这必将会推动农业强国梦的加速实现。  相似文献   

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