边缘计算与物联网的融合发展研究

传统的物联网架构通常将数据从物联网设备发送到云端进行处理和分析,但随着设备数量的增加和对实时性要求的提高,云端计算面临着一些挑战,如延迟高、带宽消耗大等问题。边缘计算弥补了这些缺陷,它将计算资源放置在物联网设备附近,使数据可以在本地进行处理和分析,减少了与云端通信的需要。基于此,文中针对边缘计算与物联网的融合发展进行了研究,希望能为各行各业提供高效、可靠的解决方案。     

基于物联网操作系统安全有关思考

随着我国科技水平的不断发展,物联网已经逐渐普及并广泛应用,与此同时,物联网操作系统安全问题也逐渐开始凸显出来。文章从以下几点对物联网操作系统安全相关问题进行有关思考。首先是对当今市面上广泛使用的物联网操作系统以及特点进行详细介绍,并分析传统嵌入式系统与物联网操作系统之间的区别;其次在研究物联网操作系统的有关资料的基础上,对物联网操作系统的安全程度进行了详细的分析与研究;再次对物联网操作系统安全所遭遇的机遇和挑战进行了深入的探究;最后结合当今的实际情况对物联网操作系统安全指出了未来的研究方向,并提出了物联网系统生存技术这一新的研究课题。     

智慧物流管理中的物联网应用分析

本文以智慧物流管理为主要研究对象,首先介绍了我国目前正在大力推动智慧城市建设背景下对物联网概念、特征以及其与传统供应链各要素之间的关系进行分析,并在此基础上指出当前我国所面临的问题和挑战;然后通过对智慧物流管理中的物联网技术进行分析,指出了该技术存在信息安全、智能化物流服务以及数据融合三个方面问题;最后提出我国需要使用什么样的方法和途径来实现物联网,即在哪些地方应用更少或不适用等。     

物联网搜索中主客观融合的动态信誉评估

与传统的互联网搜索相比,物联网搜索更加强调数据质量。为了提高数据质量,物联网搜索中心需要依数据质量为提供者支付相应报酬以激励其持续提供符合质量需求的数据。这就使如何评估数据提供者的数据质量及其信誉成为物联网搜索中的一个基础问题。为此,引入动态信誉机制来综合评估数据提供者的可信性,为数据选择、收集提供依据。首先,提出了主观意愿及客观质量评价计算方法,并设计了交互行为贴现及信誉衰减机制;然后,提出了融合主客观要素的动态信誉计算模型,并基于信号传递机制进行博弈分析,以获取交互次数、贴现率、支付价格及数据成本之间约束关系。实验证明该模型能够较好地反映数据质量变化情况,为数据选择提供依据,并满足物联网搜索的实时性及动态性需求。     

基于拍卖的物联网搜索数据提供机制

不同于互联网搜索采用爬虫等技术来采集数据,物联网搜索获取数据的主要方式之一是数据拥有者主动提供数据,然而自私性及隐私保护等原因导致数据拥有者不愿主动提供数据。这使得如何有效激励数据拥有者提供数据成为促进物联网搜索发展的关键问题之一。由于竞价拍卖能有效激励参与合作,因此将竞价博弈引入到物联网搜索中,为物联网搜索中的数据采集提供方法。具体地,提出了面向性价比最优的多属性逆向拍卖激励机制,证明了最优数据质量独立于自身报价、其他竞拍者的数据质量及其报价。     

社交网络智慧搜索研究进展与发展趋势

在以社交网络为代表的Web 2.0时代,搜索需求已经远超出Web 1.0搜索引擎的能力范畴,数据具有模式多态、快速产生、动态交互、碎片化、变化演绎等特点,这些新特点给搜索引擎技术带来了革命性和颠覆性的挑战。归纳了在线社交网络智慧搜索研究进展和技术要点,分析了研究发展过程将面临3个主要问题：在线社交网络中智慧与知识的发掘与推演、用户真实搜索意图的理解与表示以及满足用户真实意图的智慧解答在线响应,并以解决此3个问题为目标讨论了相关技术发展。     

基于组合双向拍卖的物联网搜索任务分配机制

如何合理地分配搜索任务,进而激励用户加入到搜索中是物联网搜索亟需解决的关键问题。针对物联网中数据实效性强的特点,结合物联网搜索中用户的高异构性和动态性,提出一种基于组合双向拍卖的搜索任务分配模型,从市场供求关系的角度描述了搜索发起者、搜索参与者和搜索引擎之间的关系。首先引入了竞价价值的概念,提出了一种基于贪心策略的启发式算法确定竞拍成功的用户集合,然后提出一种基于临界价格的定价算法,确保用户的竞价反映了其真实估价。理论分析及实验结果证明所提任务分配机制在保证激励相容性、合理性的基础上,有效提高了物联网搜索引擎的效率。     

大数据安全研究综述

随着人工智能、云计算、移动互联网和物联网等技术的融合发展,传统的基于边界安全域和基于已知特征库的网络安全防护方式已经无法有效应对大数据环境下新的安全威胁。通过对大数据环境下面临的安全问题和挑战进行分析,提出基于大数据分析和威胁情报共享为基础的大数据协同安全防护体系,将大数据安全技术框架、数据安全治理、安全测评和运维管理相结合,在数据分类分级和全生命周期安全的基础上,体系性的解决大数据不同层次的安全问题。基于该安全防护体系,分析了数据安全的关键技术及其目前的发展现状,并展望和分析了大数据安全领域面临的挑战。全面的分析和研究了大数据安全的威胁、政策、标准、方案、关键技术和挑战,对开展大数据安全建设和工程应用有重要参考意义。     

物联网的安全威胁及需求分析

物联网分布范围的广泛性、节点的移动性以及业务应用的复杂性给物联网的安全带来严峻挑战。根据物联网的架构和特点,划分物联网的安全体系,并分析了不同层面所面临的多种安全问题。分别从物联网末端节点、感知层、网络层、应用层、管理控制五个层面全面分析了物联网可能面临的多种安全威胁,并在此基础上提出了物联网面临的安全需求。     

云计算环境下物联网技术研究

物联网是互联网的延伸,云计算是基于物联网的IT资源的使用和交互的模式。物联网所面临的问题正好是云计算的特点,而大数据互处理等问题都是云计算要解决的问题二者是优势互补的关系。因此,对云环境下物联网的研究,为未来更好地应用物联网技术提供了有益参考。     

Security in Internet of Things: issues,challenges, taxonomy,and architecture

Internet technology is very pervasive today. The number of devices connected to the Internet, those with a digital identity, is increasing day by day. With the developments in the technology, Internet of Things (IoT) become important part of human life. However, it is not well defined and secure. Now, various security issues are considered as major problem for a full-fledged IoT environment. There exists a lot of security challenges with the proposed architectures and the technologies which make the backbone of the Internet of Things. Some efficient and promising security mechanisms have been developed to secure the IoT environment, however, there is a lot to do. The challenges are ever increasing and the solutions have to be ever improving. Therefore, aim of this paper is to discuss the history, background, statistics of IoT and security based analysis of IoT architecture. In addition, we will provide taxonomy of security challenges in IoT environment and taxonomy of various defense mechanisms. We conclude our paper discussing various research challenges that still exist in the literature, which provides better understanding of the problem, current solution space, and future research directions to defend IoT against different attacks.     

Survey on data preserving for the search of internet of things

With the rapid development of the internet of things(IoT) technology and big data technology,the search engine for internet of things become a hot research topic.However,because of the openness of the search of IoT,the privacy in traditional internet search area become more prominent and face more challenges.Firstly,the research background and challenges of privacy preservation for search of IoT were described.Secondly,the framework of data privacy preservation for search of IoT were presented and several main research domain in this framework were described.Thirdly,several privacy preservation technology appropriated for search of IoT were described in detail,including the background,recent research work,main research directions.Finally,the current problems and important research field for future were presented.     

Challenges and research directions for Internet of Things

The emergence of Internet of Things (IoT) is empowered by the availability of the high volume of smart sensors, Radio Frequency Identification, a suitable communication technologies and protocols. In the near future, the Internet will be full of heterogeneous connected devices. In recent years, the IoT has drawn significant attention as it can solve difficult problems. However, the heterogeneity of devices and the large scale networks expose the IoT to many challenges that must be addressed; otherwise, the systems performance will deteriorate. As an attempt to identify these challenges, this paper comprehensibly cites the main IoT concepts, the serious IoT challenges and the quality of services presented in the recent literature. It also investigates the corresponding main research directions and the proposed solutions. This paper can increase the knowledge of the reader since it is the first IoT survey that presents load balancing algorithms utilized in solving the extreme data storage challenge.     

Future IoT‐enabled threats and vulnerabilities: State of the art,challenges, and future prospects

In the recent era, the security issues affecting the future Internet‐of‐Things (IoT) standards has fascinated noteworthy consideration from numerous research communities. In this view, numerous assessments in the form of surveys were proposed highlighting several future IoT‐centric subjects together with threat modeling, intrusion detection systems (IDS), and various emergent technologies. In contrast, in this article, we have focused exclusively on the emerging IoT‐related vulnerabilities. This article is a multi‐fold survey that emphasizes on understanding the crucial causes of novel vulnerabilities in IoT paradigms and issues in existing research. Initially, we have emphasized on different layers of IoT architecture and highlight various emerging security challenges associated with each layer along with the key issues of different IoT systems. Secondly, we discuss the exploitation, detection, and defense methodologies of IoT malware‐enabled distributed denial of service (DDoS), Sybil, and collusion attack capabilities. We have also discussed numerous state‐of‐the‐art strategies for intrusion detection and methods for IDS setup in future IoT systems. Third, we have presented a brief classification of existing IoT authentication protocols and a comparative analysis of such protocols based on different IoT‐enabled cyber attacks. For conducting a real‐time future IoT research, we have presented some emerging blockchain solutions. We have also discussed a comparative examination of some of the recently developed simulation tools and IoT test beds that are characterized based on different layers of IoT infrastructure. We have also outlined some of the open issues and future research directions and also facilitate the readers with broad classification of existing surveys in this domain that addresses several scopes related to the IoT paradigm. This survey article focuses in enabling IoT‐related research activities by comparing and merging scattered surveys in this domain.     

Security of the Internet of Things: perspectives and challenges

Internet of Things (IoT) is playing a more and more important role after its showing up, it covers from traditional equipment to general household objects such as WSNs and RFID. With the great potential of IoT, there come all kinds of challenges. This paper focuses on the security problems among all other challenges. As IoT is built on the basis of the Internet, security problems of the Internet will also show up in IoT. And as IoT contains three layers: perception layer, transportation layer and application layer, this paper will analyze the security problems of each layer separately and try to find new problems and solutions. This paper also analyzes the cross-layer heterogeneous integration issues and security issues in detail and discusses the security issues of IoT as a whole and tries to find solutions to them. In the end, this paper compares security issues between IoT and traditional network, and discusses opening security issues of IoT.     

A review on evolving domains of Internet of Things: Architecture,applications, and technical challenges

The Internet of Things (IoT) is a system that includes smart items with different sensors, advanced technologies, analytics, cloud servers, and other wireless devices that integrate and work together to create an intelligent environment that benefits end users. With its wide spectrum of applications, IoT is revolutionizing both the current and future generations of the Internet. IoT systems can be employed for broad-ranging real applications, such as agriculture, the environment, cities, healthcare, and the industrial sector. In this paper, we briefly discuss the three-tier architectural view of IoT, its different communication technologies, and the smart sensors. Moreover, we study various application areas of IoT such as the environmental domain, healthcare, agriculture, smart cities, and industrial, commercial, and general aspects. A critical analysis is shown for the existing schemes and techniques related to this work. Further, this paper addresses the basic context, tools and evaluation approaches, future scope, and the advantages and disadvantages of the aforestated IoT applications. A comprehensive analysis is provided for each domain along with its fundamental parameters like the quality of service (QoS), network longevity, scalability, energy efficiency, accuracy, and cost. Finally, this study highlights the technical challenges and open research problems existing in different IoT applications.     

面向电力物联网三维空间几何信道建模的研究

当前研究主要采用椭圆模型描述第6代(6G)电力物联网(IoT)物理层多节点通信场景,忽视了信号传输路径的俯仰角对系统性能造成的影响。为解决这一问题,该文通过建立3维半椭球体几何传输模型描述6G电力物联网物理层通信场景,提高了电力物联网异构网物理层数据传输分析过程中的准确度。在提出的传输分析算法中,通过推导电力物联网通信无线传输信道中不同传输路径的复冲激响应函数表达式,揭示物理层数据的传输特性。数值分析不同传输路径间的互相关特性,探索电力物联网的时域传输特性,验证上述信道传输特性仿真结果的正确性,对于分析与设计电力物联网无线通信系统具有重要的理论依据和技术支撑。     

Internet of Things: Applications and Challenges in Technology and Standardization

The phrase Internet of Things (IoT) heralds a vision of the future Internet where connecting physical things, from banknotes to bicycles, through a network will let them take an active part in the Internet, exchanging information about themselves and their surroundings. This will give immediate access to information about the physical world and the objects in it—leading to innovative services and increase in efficiency and productivity. This paper studies the state-of-the-art of IoT and presents the key technological drivers, potential applications, challenges and future research areas in the domain of IoT. IoT definitions from different perspective in academic and industry communities are also discussed and compared. Finally some major issues of future research in IoT are identified and discussed briefly.     

Security and privacy issues of physical objects in the IoT: Challenges and opportunities

In the Internet of Things (IoT), security and privacy issues of physical objects are crucial to the related applications. In order to clarify the complicated security and privacy issues, the life cycle of a physical object is divided into three stages of pre-working, in-working, and post-working. On this basis, a physical object-based security architecture for the IoT is put forward. According to the security architecture, security and privacy requirements and related protecting technologies for physical objects in different working stages are analyzed in detail. Considering the development of IoT technologies, potential security and privacy challenges that IoT objects may face in the pervasive computing environment are summarized. At the same time, possible directions for dealing with these challenges are also pointed out.     

Machine learning-based clustering protocols for Internet of Things networks: An overview

The Internet of Things (IoT) continues to expand the current Internet, opening the door to a wide range of novel applications. The increasing volume of the IoT requires effective strategies to overcome its challenges. Machine Learning (ML) has led to a growing technology that enables computers to solve problems without the need for knowledge of their intricate details. Over the past years, various ML techniques have been used to efficiently manage IoT networks. Clustering is a technique that has proven its performance in the networking domain. Many works in the literature have studied ML-based clustering methods for IoT networks, including their main properties, characteristics, underlying technologies, and open issues. In this paper, we focus on topology-centered ML-based clustering protocols for IoT networks. Specifically, we investigate the potential benefits of adopting the clustering approach to address several IoT challenges. Moreover, we provide a comprehensive taxonomy of ML-based clustering algorithms for IoT networks. Finally, we statistically analyze the incorporation of ML techniques for clustering in various IoT systems and highlight the related open issues.