Internet Of Things Management Research Articles

Trust management for internet of things using cloud computing and security in smart cities

Trust management for internet of things using cloud computing and security in smart cities

Galactic swarm‐improved whale optimization algorithm‐based resource management in Internet of things

SummaryInternet of things (IoT) is the reliable alternative among the networking technologies for achieving high performance with improved potentialities of flexible adoptions, data exchanges, resource allocations, and system controls. The existing IoT suffers from the limitations of resource allocation ranging between complicated service provisioning environments and networking service quality mismatching. IoT environment needs to handle the resource allocation issue for attaining satisfactory degree of quality of experience (QoE) that maps multiple resources to gateways. This problem of mapping multiple resources to gateways belongs to the class of NP‐complete problem and can be ideally solved through intelligent metaheuristic algorithms. In this paper, galactic swarm‐improved whale optimization algorithm‐based resource management (GSIWOA‐RM) scheme is proposed for efficient mapping of multiple resources to gateways in IoT. It specifically utilizes galactic swarm optimization algorithm (GSOA) for establishing global control with inherited multiple adaptive cycles of exploitation and exploration during resource allocation. It further prevents the limitations of early convergence in the exploitation phase by utilizing the evolution‐based whale optimization algorithm (WOA) that aids in better balance between exploitation and exploration. The simulation results of the proposed GSIWOA‐RM scheme confirm a better throughput of 28.32% with minimized delay and energy consumptions of 19.24% and 21.82%, when compared to the baseline resource management schemes.

A Certificateless Authenticated Key Agreement Scheme for the Power IoT

Power Internet of Things (IoT) is the application of IoT technology in the field of power grid, which can better control all kinds of power equipment, power personnel and operating environment. However, access to mass terminals brings higher requirements for terminal authentication and key management for the power IoT. And the traditional public key infrastructure (PKI) and identity-based public key cryptography (IB-PKC) exist the problems of certificate management and key escrow. Therefore, the paper proposes a novel authenticated key agreement scheme based on the certificateless public key cryptography (CL-PKC) mechanism. In addition, the proposed scheme is proven with the improved extended Canetti-Krawczyk (eCK) security model. Finally, the implementation of the authenticated key agreement protocol is given based on the actual application requirement of the power IoT, and the analysis and comparison of the simulation demonstrates that the proposed scheme has higher efficiency and would be suitable for the power IoT.

Trust Management in Internet of Things: Review, Analysis and Establishment of Evaluation Criteria

Trust Management in Internet of Things: Review, Analysis and Establishment of Evaluation Criteria

Predicting Internet of Things (IOT) Security and Privacy Risks – A Proposal Model

The Internet of things (IOT) users lack awareness of IOT security infrastructure to handle the risks including Threats, attack and penetration associated with its use. IOT devices are main targets for cyber-attacks due to variable personally identifiable information (PII) stored and transmit in the cyber centers. The security risks of the Internet of Things aimed to damage user's security and privacy. All information about users can be collected from their related objects which are stored in the system or transferred through mediums among diverse smart objects and may exposed to exposed dangerous of attacks and threats if it lack authentication so there are essential need to make IOT security requirements as important part of its efficient implementation. These requirements include; availability, accountability, authentication, authorization, privacy and confidentiality, Integrity and Non-repudiation. The study design is a survey research to investigate the visibility of the proposed model of security management for IOT uses, the security risks of IOT devices, and the changes IOT technology on the IT infrastructure of IOT users through answering of the research questionnaires. This work proposes a model of security management for IOT to predict IOT security and privacy threats, protect IOT users from any unforeseen dangers, and determine the right security mechanisms and protocols for IOT security layers, as well as give the most convenient security mechanisms. Moreover, for enhancing the performance of IOT networks by selecting suitable security mechanisms for IOT layers to increase IOT user's security satisfaction.

Towards an efficient big data management schema for IoT

Internet of things (IoT) is an essential technology in our life; the importance of IoT is yearly increasing because of the excellent usage value. IoT management can help stakeholders in analyzing and making the right decisions based on previous historical sensed data. However, some challenges emerge while using the IoT that will be more complicated in the future. Data management is one of the significant challenges that is facing IoT technology. The growth of the number of sensors will increase the generated data (Big Data). In a few years, the problem of analyzing, processing, and storing such data will become a highly complex process. Due to the mentioned challenges, in this paper, we propose a new schema to efficiently store the structured IoT data to improve the performance of analyzing and retrieving the data. The main idea about the proposed schema is performed in the data preprocessing step by grouping the data into different levels without losing any single value (lossless compression). We evaluate our proposed schema using eight other datasets in terms of storage size and processing time; our results show that the proposed schema outperforms the traditional storing method for all datasets.

D2D routing aided networking for efficient energy consumption management of wireless IoT

Since the past decades, the development of wireless communications has been thrusting the informationization of people′s life. While the smartphone mobile communications have greatly enhance user experiences, the conception of internet of things (IoT) which manages to achieve the broader network coverage of heterogeneous devices seems to be predictable. As an application based on internet and wireless communication techniques, the IoT might be promoted by the commercialization of present fifth generation (5G) mobile communication system. However, due to the considerable increase of information nodes, not limited to mobile phones, the direct networking strategy encounters energy consumption difficulties, which severely hinders the realization of IoT. To make a preliminary attempt at this moment, this work proposes an alternative device-to-device (D2D) strategy without the requirements of revolutionary hardware progresses. Based on the typical 5G architecture with achievable improvements (beyond-5G), an algorithmic D2D networking investigation is conducted for the wireless networking of ad hoc IoT. According to theoretical analysis and numerical simulation results, it is estimated that the appropriate D2D routing is capable of the reducing of energy consumption level up to 93%. As the energy efficiency is competent of the primitive IoT networking (e.g., long-term monitoring sensor network), this work supplies a cohort-study potentially boosting the wireless IoT systems come true.

Energy Management for Internet of Things via Distributed Systems

The distributed energy system (DES) architecture is subject to confusion about renewable energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable electricity sources, the end-user's on-demand presence in the intelligent energy management context is essential. The participation of end-users could influence the management of the system and the volatility of energy prices. By delivering auxiliary services using demand side-resource to increase system reliability, robust planning, constraint control and scheduling, consumers may support grid operators. The optimized approach to managing energy resources enhances demand response to renewable energy sources integrally, controls the demand curve with load versatility as the system requires it. The opportunity to adjust/regulate the charging profile by choosing a particular device. This article discusses a literature and policy analysis that looks at the role of energy management system aggregators and the end-users participating in subsidiary systems within Smart Grid programmers and technologies. In the implementation of aggregators for energy management systems, the objective is to understand the patterns, threats, obstacles and potential obstacles.

Related Courses Management for Internet of Things(Iot) Technologies in Engineering Training Plan

According to the requirements of the current market for Internet of things(IoT) technology, based on the data required by the actual application, according to the effective learning time of the current undergraduate engineering students in the University, the training plan of Internet of things(IoT) technology is developed by using the Management of Information Systems(MIS). Starting from the relevant courses, the training plan of each stage is listed, the courses of each stage are managed, and each stage is explained The required theoretical and practical hours. This paper puts forward the train of thought for the relevant course management of practical Internet of things(IoT) technical talents.

Fault-Tolerance System Design in the Internet of Things Network with Blockchain Validation

An Internet of Things (IoT) network contains huge heterogeneous sensing devices, architectures, and protocols. In this extensive IoT network, fault detection and management is a critical and time-consuming task. In this paper, a fault-tolerance system is proposed for the Internet of Things network using Blockchain integrity and security validation method, and this network will detect faults and provide solutions automatically to maintain the efficiency of the network. Fault-tolerance automation creates a significant impact in the extensive IoT network for its sustainability. The outcome presented in this paper shows that the blockchain-based network is highly fault-tolerant as compared to the centralized and cryptographic method-based network.

Trust Based Security Mechanisms for Resource-Constrained Internet of Things-A Review

The Internet of Things (IoT) defined as the assembling of real-world objects that are connected over the Internet to make human lives become well-being. The implementation and success of an IoT depend on how it’s secured. But providing security is a critical task because of various natures of IoT devices such as shared and open environment, a wide range of communication protocols, standards, self-organized, lack of central control, heterogeneity of devices, etc. To provide security solutions and mechanisms, key management, cryptographic mechanisms such as private and public-key cryptography, Intrusion Detection System (IDS), and hash functions have been used. Though it is working well, it is not suitable for lightweight IoT devices. Because of such mechanisms always demand high computational, memory, and processing. To overcome these issues, researchers have chosen trust management for providing security. In this article, some of the trust-based solutions have presented. Besides, security issues, security loopholes/attacks in various layers of IoT, security requirements, trust management in IoT, properties of trust, trust management building blocks, the role of trust management in IoT, basic trust calculation methods have presented.

Big Data Analytics and Management in Internet of Things

The Special Issue of the Journal of Information Technology Management (JITM) is publishing very selective papers on information management, Internet of Things (IoT), Algorithms, Quality of Service (QoS),Tourists Perception, Technology in higher education, integrated systems, enterprise management, Self-Service Technology (SST), cultural thoughts, strategic contributions, management information systems, and cloud computing. We received numerous papers for this special issue but after an extensive peer-review process, eight papers were finally selected for publication. In the digital age, the management of electronic archives became a trend as well as the focus of management development in many institutions.

Internet of Things as Complex Networks

In the past few years, the development of complex networks has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). Complex networks have led to significant advances in such an active research field and have been proposed to tackle the associated challenges. From a systematic perspective, complex networks pursue new ways to represent, characterize, and analyze the connections and interactions between a huge volume of sensors, actuators, and processors. The theoretical framework and computational tools for complex networks derive new approaches in analyzing IoT architectures, networks, and services. The convergence of empirical and computational advances opens new frontiers of IoT governance and management, covering network dynamics, resource allocation, and task scheduling across heterogeneous networks. We explore the latest technical trends in modelling and analyzing IoT systems with complex networks to provide a better systematic view and more comprehensive understanding of a variety of IoT technologies spanning from sensors and networks to applications and services.

Blockchain–a promising solution to internet of things: A comprehensive analysis, opportunities, challenges and future research issues

Blockchain (BC) technology is a promising answer for providing security and ensuring protection in a distributed way. It has transformed the digital currency platform with the revolutionary crypto-currency known as Bitcoin. From a theoretical point of view, a BC is a distributed series of blocks linked with each other where every block is an immutable record of some form of data exchange occurring in a network. Recently, numerous literature reviews and research articles have been published on the combination of BC with the Internet of Things (IoT). However, they are restricted to shallow conversations of specialized possibilities, and not many of them have an exhaustive investigation of the difficulties in creating BC for IoT at implementation levels. Within this frame of reference, the BC is viewed as the important link for creating a genuinely secure, decentralized, and trustless platform designed to be used in IoT and, in this literature review, we mean to figure out an intelligent and thorough image of the present progressive research works toward this path. We begin with the security vulnerabilities presented by the different IoT layers. Then we focused on the central working principle of BC and how BC-based frameworks accomplish the feature of security, decentralization, and auditability. From that point, we focused on the security solutions to several vulnerabilities presented by the IoT with centralized architecture, accompanied by ongoing industrial advancement and academic research to comprehend these difficulties and successfully use BC to ensure a secure platform without any centralized management in IoT.

Investigating Approaches of Integrating BIM, IoT, and Facility Management for Renovating Existing Buildings: A Review

The importance of building information is highly attached to the ability of conventional storing to provide professional analysis. The Internet of Things (IoT) and smart devices offer a vast amount of live data stored in heterogeneous repositories, and hence the need for smart methodologies to facilitate IoT–BIM integration is very crucial. The first step to better integrating IoT and Building Information Modeling (BIM) can be performed by implementing the Service-Oriented-Architecture (SOA) to combining software and other services by replacing the sematic information that was failed to display elements of indoor conditions. The other development is to create link that able to update static models towards real-time models using SOA approach. The existing approach relies on one-way interaction; however, developing two-way communication to mimic human cognitive has become very crucial. The high-tech approach requires highly involving Cloud computations to better connect IoT devices throughout Internet infrastructure. This approach is based on the integration of Building Information Modeling (BIM) with real-time data from IoT devices aiming at improving construction and operational efficiencies and to provide high-fidelity BIM models for numerous applications. The paper discusses challenges, limitations, and barriers that face BIM–IoT integration and simultaneously solves interoperability issues and Cloud computing. The paper provides a comprehensive review that explores and identifies common emerging areas of application and common design patterns of the traditional BIM-IoT integration followed by devising better methodologies to integrate IoT in BIM.

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

The development of intelligent cyber–physical systems (ICPSs) in the virtual network environment is facing severe challenges. On the one hand, the Internet of Things (IoT) based on ICPSs construction needs a large amount of reasonable network resources support. On the other hand, ICPSs are facing severe network security problems. The integration of ICPSs and network virtualization (NV) can provide more efficient network resource support and security guarantees for IoT users. Based on the above two problems faced by ICPSs, we propose a virtual network embedded (VNE) algorithm with computing, storage resources, and security constraints to ensure the rationality and security of resource allocation in ICPSs. In particular, we use the reinforcement learning (RL) method as a means to improve algorithm performance. We extract the important attribute characteristics of the underlying network as the training environment of the RL agent. The agent can derive the optimal node embedding strategy through training, so as to meet the requirements of ICPSs for resource management and security. The embedding of virtual links is based on the breadth first search (BFS) strategy. Therefore, this is a comprehensive two-stage RL-VNE algorithm considering the constraints of computing, storage, and security 3-D resources. Finally, we design a large number of simulation experiments from the perspective of typical indicators of VNE algorithms. The experimental results effectively illustrate the effectiveness of the algorithm in the application of ICPSs.

LEDGE: Leveraging Edge Computing for Resilient Access Management of Mobile IoT

Due to the blooming of Internet of Things (IoT), heterogeneous IoT mobile devices emerge to connect the network infrastructure. Traditional mobile access system faces several challenges arising from these IoT devices: 1) centralized controllers are distant from the end devices, 2) inefficient access control of heterogeneous IoT devices, and 3) insufficient authentication and monitoring for IoT devices. In order to tackle the challenges from IoT devices on mobile access control and scalable access monitoring, we present LEDGE, an agile and secured software-defined edge computing system for resilient access management of mobile IoT. In a nutshell, our LEDGE is a synergy of an efficient location authentication method to secure communication between each IoT mobile device and access point (AP) pair, an optimal AP assignment scheme to satisfy IoT flow requests, a Personal AP protocol for scalable access, and a deep learning model for anomaly detection. We prototype our system, and realistic testbed experiments demonstrate that LEDGE could achieve promising results in mobile IoT.

A hierarchical approach for accelerating IoT data management process based on SDN principles

The human life is changing drastically due to a popular emerging technology called Internet of things (IoT). The growth in the number of devices connecting to IoT networks results in large volumes of data collected or generated by these devices. Since IoT data is different from other types of data in terms of diversity and rapid growth and due to the huge amount of the generated data, the complexity in management and load balancing issues in IoT networks, there is a need for innovative ideas in IoT design and management. Software Defined Networking (SDN) as a promising paradigm separates the control functions from physical devices and places them inside a logically centralized control plane. SDN propounds the concept of programmable networks and due to its unique capabilities, seems to be very useful in reducing the management complexities of a dynamic network like IoT. In this paper, a hierarchical SDN-based approach is proposed for accelerating the data management and balancing the load not only between the IoT devices of a single domain, but also between different network clusters. The proposed framework prevents the controller from becoming a single point of failure and makes it possible to apply different kinds of management and load balancing strategies in a hierarchical and multistep scenario. According to the experimental results, our scheme exhibits a reduction in the average turnaround time and the average waiting time and improves the processing performance. Furthermore, the proposed approach distributes tasks evenly throughout the network and improves the use of network resources.

The evolution of the Internet of Things (IoT) over the past 20 years

To reveal the origin of the IoT, evaluate its mainstream research topics, and discuss the challenges facing the IoT in the future, this paper conducts a bibliometric study of the IoT from 2000 to 2019. First, this paper presents a basic bibliometric overview of the IoT. Second, co-citation, coupling and cluster analysis methods are used to analyse collaboration networks, and VOSviewer is used to visualize the networks. Third, biblioshiny is used to analyse the thematic trends of IoT. Finally, this paper discusses IoT challenges and provides some suggestions to address them. The limitations of this paper are also summarized. Research results show that, the mainstream studies in this field mainly focus on IoT security, wireless sensor networks, IoT management, IoT challenges and privacy. In addition, the thematic evolution of keywords shows that security and algorithm issues have become basic themes in the field of IoT research in recent years.

IoT Management Solution: A Case Study of Fill Level Monitoring for Gravel Silos

In order to make ubiquitous system, technologist uses different type of equipment in perception layer, for the environment sensing and sensory data processing. This equipment’s are sensors, data processing and sending devices. Sensors sense the environment and create the data accordingly. Sensor generated data need to be processed with some processing device and can be send over the network. This research paper introduced the basic application based on IoT. The application includes Ultrasonic distance sensor and NodeMCU for obtaining the fill level of the gravel silos. We are publishing our data over the web using Zerynth studio portal and showing the analysis graph of application near real time using the Internet of Things (IoT) concept. Paper also describes server configuration on the NodeMCU and real-time response to web browser over the WLAN.