Enterprise Internet Of Things Research Articles

A bibliometric analysis of the landscape of measuring technology maturity in the enterprise internet of things

The internet of things (IoT) is an emerging technology that has taken great relevance in the current socioeconomic context, especially in the business environment, due to its ability to generate competitive advantages. Its adoption presents challenges, such as understanding the value proposition, staff training, and ensuring connectivity and compatibility. In addition, it is crucial to establish the technological maturity of the IoT in enterprises to determine their current state and take steps to address these challenges. In this study, a bibliometric analysis of 431 articles from different scientific databases was performed using Bibliometrix and VOSviewer tools to determine the current state of the domain. The results indicate that the field is booming, with an annual growth rate of 22.58%. Its conceptual structure is composed of the IoT implemented in different contexts, in conjunction with the influence of sister technologies such as big data and blockchain, suggesting limited specificity in establishing the maturity of the enterprise IoT. Countries such as China and Brazil were found to be at the forefront in the area. A promising aspect is establishing standardized ways to measure technological maturity and provide guidelines for improving internet of things adoption.

Proposal of innovative smart solutions for retail store in order to support competitiveness and sustainable development

The Internet of Things (IoT) is becoming an increasingly important concept in various areas of our daily lives. With the development of information and communication technologies, the possibilities of IoT implementation are also expanding. The retail sector is also starting to make more significant use of IoT to improve and increase the efficiency of its business processes and more effective interaction with customers. Even though several partial IoT solutions have been implemented in retail, according to publicly available sources, there is no comprehensive IoT implementation in this sector. Therefore, we focused on the possibilities of creating a comprehensive proposal for the use of IoT in a retail enterprise in Slovakia. The main reasons for this transformation are the development of intelligent technologies, the increased demand of consumers for more convenient purchases and the efficiency of business processes, as well as to increase the competitiveness of the company. The aim of the contribution is to create a proposal for the implementation of IoT in retail, which will contribute to the sustainable development and competitiveness of the company. The result of the contribution is the creation of a proposal for the integration of the Internet of Things in retail, while the proposal is also applicable in other similar enterprises. The research methodology includes secondary sources and primary inquiry using an online questionnaire. The results of the primary research showed that a large part of respondents are interested in using IoT solutions in retail and that the implementation of these solutions affects their purchasing behavior. The conclusions of the paper indicate that the implementation of IoT solutions in retail would have a positive impact on the competitiveness of businesses. Factors that influence the choice of brick-and-mortar and online stores by customers were also identified. Customers’ interest in IoT solutions, as well as their preferences when choosing stores, represent a guideline for businesses operating in the retail sector. The implementation of the proposed solutions is relatively demanding on financial resources, therefore a good financial condition of the company is a necessary condition. Further research should focus on the security risks, barriers, ethical privacy issues associated with the use of IoT in retail stores.

Ivycide: Smart Intrusion Detection System Against E-IoT Driver Threats

The rise of Internet of Things (IoT) devices has led to the proliferation of smart environments worldwide. Although commodity IoT devices are employed by ordinary end-users, complex environments such as smart buildings, government, or private offices, or conference rooms require customized and highly reliable IoT solutions. Enterprise Internet of Things (E-IoT) connect such environments to the Internet and are professionally managed solutions usually offered by dedicated vendors As E-IoT systems require specialized training, closedsource software, and proprietary equipment to deploy. In effect, E-IoT systems present an unprecedented, under-researched, and unexplored threat vector for an attacker. In this work, we focus on E-IoT drivers, software modules used to integrate devices into E-IoT systems, as an attack mechanism. We first present PoisonIvy, a series of generalized proof-of-concept attacks used to demonstrate that an attacker can use a malicious driver to perform denial-of-service attacks, gain remote control, and abuse E-IoT system resources. To defend against E-IoT driverbased threats, we introduce IVYCIDE, a novel intrusion detection system used to detect unexpected E-IoT network traffic from an E-IoT system. IVYCIDE operates as a passive monitoring system within an E-IoT system using machine learning and signature-based classification to detect POISONIVY attacks. We evaluated the performance of IVYCIDE in a realistic E-IoT deployment. Our detailed evaluation results show that IVYCIDE achieves an average accuracy of 97% in classifying the type of POISONIVY attack and operates without modifications or operational overhead to existing E-IoT systems.

Digital Hash Data Encryption for IoT Financial Transactions using Blockchain Security in the Cloud

Blockchain security via the Internet of Things (IoT) will reshape the decision-making function of the data-driven incumbent smart enterprise, providing the vision of the connected world of things. Enterprise IoT development of devices, personnel, and systems in such a way that they may connect and communicate with each other through the Internet. Blockchain is an enterprise financial transaction, and its digital network is distributed transaction ledger. Today, enterprises need the massive global data management and rapid trading volume to keep things going and growing. It creates enterprise business challenges of different types of security, transparency, and complexity of the problem. Enterprise architecture offers several advantages for the thief to obtain a specific user account, application, and access to the device. This is, will doesn't be to provide the necessities of security. The proposed Digital Hash Data Encryption (DHDE) is used to secure the transaction data-based embedded system people and blockchain. Blockchain and IoT technology integration may bring numerous benefits to mention. Therefore, the proposed DHDE algorithm comprehensively discusses the blockchain technology integration system. The proposed DHDE algorithm encrypts the transaction data for an unauthorized person who cannot access the enterprise transaction data based on embedded system people and blockchain.

LGuard : Securing Enterprise-IoT Systems against Serial-Based Attacks via Proprietary Communication Buses

Enterprise Internet of Things (E-IoT) systems allow users to control audio, video, scheduled events, lightning fixtures, door access, and relays in complex smart installations. These systems are widely used in government or smart private offices, smart buildings/homes, conference rooms, schools, hotels, and similar professional settings. However, even with their widespread use, the security of many E-IoT systems and components has not been researched in the literature. To address this research gap, we focus on E-IoT communication buses, one of the core components used to connect E-IoT devices, and introduce LightningStrike attacks that demonstrate several weaknesses with E-IoT proprietary communication protocols used in E-IoT communication buses. Specifically, we show that popular E-IoT proprietary communication protocols are susceptible to Denial-of-Service (DoS), eavesdropping, impersonation, and replay attacks. As such threats cannot be mitigated through traditional defense mechanisms due to the limitations posed by E-IoT, we propose LGuard , a defense system to protect E-IoT systems against the attacks over communication buses. LGuard uses closed-circuit television footage and computer vision techniques to detect replay attacks. For impersonation and DoS attacks, LGuard utilizes traffic analysis. Finally, LGuard obfuscates the E-IoT traffic via inserting redundant traffic to the bus against eavesdropping attacks. We evaluated the performance of LGuard in a realistic E-IoT deployment, and our detailed evaluations show that LGuard achieves an overall accuracy and precision of 99% in detecting DoS, impersonation, and replay attacks while effectively increasing the difficulty of extracting valuable information for eavesdroppers. In addition, LGuard does not incur any operational overhead or modification to the existing E-IoT system.

Insights on the internet of things: past, present, and future directions

The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process’s ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

IoT Architecture-Based Mechanism for Digital Transmission of Key Aspects of the Enterprise.

This paper provides an in-depth study and analysis of data transmission in key aspects of the enterprise using internet of things (IoT) technology. IoT technology can provide an effective solution to the integration of enterprise resources and efficiency improvement. If it can be properly introduced into the enterprise, it not only can effectively integrate the enterprise resources in the management but also can significantly improve the efficiency and thus further reduce its operating cost. This paper explores the management application strategy of IoT in the key aspects of digital transmission in enterprises. It can also increase productivity to address labour shortages. Most importantly, because of the internet of things technology, many emerging industries have been derived. In order to achieve this research objective, firstly, based on the in-depth study of the problems of digital transmission of key aspects of the enterprise, this paper evaluates and summarizes the supply chain, safety, efficiency, and quality problems that often occur in the past operation and management of the case enterprise and analyses the main reasons for the formation of the problems and then recognizes the necessity and feasibility of introducing IoT technology and management; secondly, based on the kernel of IoT and industrial IoT technology combined with the main modules of enterprise operation management, using the 5S field management method, we try to build a three-dimensional all-round electrical equipment enterprise IoT management application scheme design system; and finally according to the planning and design rules and management process, we focus on implementing digital transmission network application projects from the enterprise level combining key links of technology and management. This paper studies not only technical innovation but also a revolution in management. The research in this paper will provide a more feasible technical and management design scheme for the application of IoT in enterprises for industry reference.

Enterprise IoT at risk

New research by Palo Alto Networks paints a stark picture of the vulnerability of Internet of Things (IoT) devices and their potential impact on enterprise networks.

How does enterprise IoT traffic evolve? Real-world evidence from a Finnish operator

The adoption of Internet of Things (IoT) technologies in businesses is increasing and thus enterprise IoT (EIoT) is seemingly shifting from hype to reality. However, the actual use of EIoT over significant timescales has not been empirically analyzed. In other words, the reality remains unexplored. Furthermore, despite the variety of EIoT verticals, the use of IoT across vertical industries has not been compared. This paper uses a two-year EIoT dataset from a major Finnish mobile network operator to investigate device use across industries, cellular traffic patterns, and mobility patterns. We present a variety of novel findings: EIoT traffic volume per device has increased three-fold over the last two years, the share of LTE-enabled devices has remained low at around 2% and that 30% of EIoT devices are still 2G only, and there are order of magnitude differences between different industries’ EIoT traffic and mobility. We also show that daily traffic can be clustered into only three patterns, differing mainly in the presence and timing of a peak hour. Beyond these descriptive results, modeling and forecasting is conducted for both traffic and mobility. We forecast the total daily EIoT traffic through a temporal regression model and achieve an error of about 15% over medium-term (30 to 180 day) horizons. We also model device mobility through a Markov mixture model and quantify the upper bound of predictability for device mobility.

A multi-device multi-tasks management and orchestration architecture for the design of enterprise IoT applications

Enterprise Internet of Things (EIoT) is the next advancement in technology. EIoT allows the involvement of embedded devices to participate in business processes to automate enterprise operations. EIoT demands the modelling of services based on tasks to automate business processes and to allow easy adaptation to new business models. It is anticipated to enhance efficiency, align physical operations on a real-time basis and provide analytics for fostering more customer-centric business. The architecture is the cornerstone for any application, and currently, there exist a variety of architectures for enterprise systems and IoT addressing the requirements of the respective domains. The reference architectures of conventional IoT platforms perform orchestration at the service level, which, despite its success, does not align well with the demands of enterprises processes. This paper proposes a reference architecture to consider both the requirements of EIoT as well as the conventional Internet of Things (IoT). This paper is a novel attempt to propose orchestration at the task level, considering the business process modelling of enterprise systems. This level of orchestration is scalable and flexible due to the automation at a more granular level. In contrast, the service-level orchestration works well for general IoT application but is not suited for enterprises whose sole aim is the modelling of enterprise operation at the very task level. Therefore, a reference architecture named a multi-device multi-tasks management and orchestration (MDMT-MOA) based on a top-down methodology is proposed addressing the needs of IoT and enterprise applications. A case study is implemented on top of the architecture, and the performance is evaluated using various metrics related to EIoT. Results indicate that the proposed architecture is efficient due to lightweight payload, scalable, fault-tolerant and flexible to adapt with new business models.

A State-of-the-Art Survey on Formal Verification of the Internet of Things Applications

In recent years, Internet of Things (IoT) has been one of the most popular technologies that facilitate new interactions among things and humans to enhance the quality of life. With the rapid development of the IoT, Industrial and enterprise IoT are emerging as an attractive solution for processing the IoT applications. On the other hand, due to the guarantee of safety-critical conditions without system failures in smart devices, formal verification approaches are essential to manage and evaluate critical failures and reachable status in these problems. In this paper, a review of the formal verification approaches in the IoT applications is presented to recognize the state-of-the-art mechanisms on this important topic. The formal verification approaches of the IoT environments are compared with each other according to the advantages and limitations.

A 2.4-GHz ISM RF and UWB hybrid RFID real-time locating system for industrial enterprise Internet of Things

This paper presents a 2.4-GHz radio frequency RF and ultra-wide bandwidth UWB hybrid real-time locating system RTLS for industrial enterprise Internet of Things IoT. It employs asymmetric wireless ...

A 2.4-GHz ISM RF and UWB hybrid RFID real-time locating system for industrial enterprise Internet of Things

ABSTRACTThis paper presents a 2.4-GHz radio frequency (RF) and ultra-wide bandwidth (UWB) hybrid real-time locating system (RTLS) for industrial enterprise Internet of Things (IoT). It employs asymmetric wireless link, that is, UWB radio is utilised for accurate positioning up to 10 cm in critical sites, whereas 2.4-GHz RF is used for tag control and coarse positioning in non-critical sites. The specified communication protocol and the adaptive tag synchronisation rate ensure reliable and deterministic access with a scalable system capacity and avoid unpredictable latency and additional energy consumption of retransmissions due to collisions. The tag, consisting of a commercial 2.4-GHz transceiver and a customised application-specific integrated circuit (ASIC) UWB transmitter (Tx), is able to achieve up to 3 years’ battery life at 1600 tags per position update second with 1000 mAh battery in one cluster. The time difference of arrival (TDoA)–based positioning experiment at UWB radio is performed on the designed software-defined radio (SDR) platform.