Recent Privacy and Security Issues in Internet of Things Network Layer: A Systematic Review

Alam, Malik Zaib; Reegu, Faheem Ahmad; Dar, Arshad Ahmad; Bhat, Wasim Ahmad

doi:10.1109/icscds53736.2022.9760927

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Then, it would be desirable to be able to connect UAVs with these systems and provide information to farmers in real time. As the IoT advances, security issues are a concern, so it will be important to develop autonomous decentralized systems that increase data tamper resistance using blockchain technology [33], [34], [35], [36].…”

Section: Discussionmentioning

confidence: 99%

Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction

Ito,

Minamino,

Umeki

2024

Adv. sci. technol. eng. syst. j.

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This research is an extension of the research (ISEEIE 2023), which dealt with Time-Series Clustering (TSC) of Vegetation Index (VI) for paddy rice. The novelty of this research is "Visualization of growth changes before and after additional fertilization," "Analyzing the appropriate amount of additional fertilizer," and "Optimization of monitoring period to minimize the number of monitoring days for its workload reduction using Unmanned Aerial Vehicle (UAV)." For visualization of growth changes before and after fertilization, a UAV was used to obtain VIs for each mesh and make its time-series data during the monitoring period. Then, TSC was performed on the data. As a result of clustering, NDVI and NDRE increased with additional fertilizer, making it possible to visualize the fertilizer effects. For analyzing the appropriate amount of fertilizer, the its amount applied was changed for each paddy field (2.8, 3.5, 4.2g/m 2 ). In a field experiment conducted, both the TSC results and the crop estimates by unit acreage sampling for each paddy field revealed no difference in yield among fields, indicating that the paddy field with the least fertilizer amount (2.8g/m 2 ) is optimal. It was estimated that this would reduce nitrate nitrogen, which is harmful to soil and the human body, by 0.070mg/L. In addition, for optimization of the monitoring period, the importance of each independent variable outputted by Random Forest (RF) was used to find a subset of monitoring dates. In any VI, there is a period, determined by the range of effective accumulated temperature, when the clustering result does not change even if the number of monitoring dates is reduced (The period could be reduced from 30 to 40 days, which is particularly important for three vegetation indices). From these results, the technologies can help reduce fertilizer costs, excessive fertilization and environmental impacts, and promote the use of UAV.

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Section: Discussionmentioning

confidence: 99%

Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction

Ito,

Minamino,

Umeki

2024

Adv. sci. technol. eng. syst. j.

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“…The decision provider is the e-commerce food chain seller [34], particularly its supply chain and management of warehouses, which must nurture and support the usage of Blockchain-based technology.…”

Section: G Case Studymentioning

confidence: 99%

An IoT and Blockchain-Based Secure and Transparent Supply Chain Management Framework in Smart Cities Using Optimal Queue Model

Ahmad,

Verma,

Sarhan

et al. 2024

IEEE Access

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The process of controlling the flow of products and services from a company by encompassing each stage involved in transforming raw materials and parts into finished items, also delivering them to the final consumer is known as Supply Chain Management (SCM). The development of numerous smart city applications including smart grids, smart homes, smart supply chains, and smart healthcare has drawn attention to the Internet of Things (IoT). Nowadays, researchers are considering the smart healthcare system's role as a Public Emergency Service (PES) to treat patients promptly. A distributed smart fire brigade system receives little attention like PES to save lives and property from catastrophic fire damage. The conventional PES methods are created using a centralized method that needs a lot of processing power and doesn't offer timely services. The traditional systems developed for managing the supply chain have drawbacks like single-point failure issues, data integrity, transparency, and lack of trust. To alleviate the existing issues, in this paper, a Blockchain and IoT Enable Secure and Transparent Supply Chain Management framework is utilized for PES in the smart city environment. Further, two edge computing servers, like a service controller and an IoT controller are adapted. The local storage is handled by the service and IoT controller. Thus, it enhances the data processing speed of PES requests and PES fulfillment. The service controller utilizes the Optimal Queue Model to manage the PES requests based on the minimum service queue length. The efficiency of the network is improved by fine-tuning the parameters from the Queue model with the aid of a Revised Fitness-based Political Optimizer (RF-PO). The multi-objective constraints like queue length, utilization, actual arrival time, expected arrival time, and end-toend delay are utilized for the efficient supply chain system. These stimulated results show the feasibility and effectiveness of the supply chain framework.INDEX TERMS Supply chain management system, smart cities, internet of things, blockchain, revised fitnessbased political optimizer, optimal queue model.

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“…Since technologies related to the Internet of Things (IoT) have been increasingly used in smart cities and homes, applications related to agriculture and fisheries, water quality monitoring, power monitoring, road monitoring, and other applications have expanded exponentially [1]. However, the IoT primarily uses HTTPS or MQTTS for information transmission, and the transmission process meets information security requirements [2], most of which import HTTPS data encryption for basic data protection.…”

Section: Introductionmentioning

confidence: 99%

Using an Efficient Detection Method to Prevent Personal Data Leakage for Web-Based Smart City Platforms

Chiu

Tsai

Yang

2023

Wireless Communications and Mobile Computing

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Many Internet of Things and information exchange technologies bring convenience, cost-efficiency, and sustainability to smart city solutions. These changes have improved our day-to-day quality of life, with impacts on: (a) lifestyle (e.g., automation and robotic reaction), (b) infrastructure (efficient energy consumption), and (c) data-driven management (data sensing, collection, and investigation). It is common to integrate Web-based interfaces and such solutions for developing platforms. When software and hardware components store, retrieve, and transfer such information, people may suffer from personal data leakage. This paper introduces a privacy information detection method, using a data weighting mechanism to save time and cost in finding personal information leaks over Web services. According to an initial evaluation, the proposed method can reduce time by 62.19% when processing 8,000 crawled files, and roll-back verification shows that it maintains 90.08% accuracy for finding marked content.

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Recent Privacy and Security Issues in Internet of Things Network Layer: A Systematic Review

Cited by 7 publications

References 20 publications

Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction

Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction

An IoT and Blockchain-Based Secure and Transparent Supply Chain Management Framework in Smart Cities Using Optimal Queue Model

Using an Efficient Detection Method to Prevent Personal Data Leakage for Web-Based Smart City Platforms

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