Robust Online CSI Estimation in a Complex Environment

Duy, Heng; Dengy, Yun; Xueyz, Jiang; Mengyz, Deyu; Zhaoy, Qian; Xuy, Zongben

doi:10.1109/twc.2022.3165588

Cited by 29 publications

(19 citation statements)

References 35 publications

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“…It can be seen that foreign scholars have conducted research on the methods and approaches of smart city construction. Chinese scholars also highly a rmed the interaction between the Internet of ings and smart cities [22][23][24][25]. In the macro field, the state has formulated the "New Smart City Evaluation Indicators (2016)", and a large number of regions across the country have participated in the indicator evaluation [26].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Development of Smart City and Regional Industrial Economy under the Background of Internet of Things

Chen

2022

Mobile Information Systems

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The development of wireless communication and the Internet of Things has promoted the construction of smart cities and is the technical basis for the construction of smart cities. The influence of regional economic development level on smart city construction cannot be ignored, and it constitutes the external environment of smart city construction. The combination of the two will play a driving role in the construction of smart cities. Therefore, the planning and construction of smart cities must be coordinated with the realization of the two. This paper adopts a combination of literature analysis and field investigation to analyze the decoupling between smart city construction and regional economic development, conduct research on relevant cities, and combine the current situation of smart city construction to collect the problems encountered in smart city construction and regional economic development. Through analysis, it provides suggestions for the development of smart cities and regional economic development. The survey results show that in the process of smart city construction and regional industrial economic development in the context of the Internet of Things, information security and lack of talent are the most prominent problems. Among the relevant suggestions on these issues, the proportion of talent introduction is about 45%, and the proportion of rational planning of industrial structure is about 28%. Based on the experience of existing research results, this study uses optimization algorithms to make the impact of various factors more specific, which is helpful for each region to make scientific planning based on its own actual situation.

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Section: Introductionmentioning

confidence: 99%

Coordinated Development of Smart City and Regional Industrial Economy under the Background of Internet of Things

Chen

2022

Mobile Information Systems

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“…42,43 An IDS is a physical device or software that detects and prevents a wireless or wired network admission. 44,45 The IDS's major task when it detects an invader trying an assault is to prohibit it; this action should be conducted before any sensitive data is damaged or accessed. 46 IDSs depend on anomaly detection to create a regular habit profile and label activities that do not fit it as assaults.…”

Section: F I G U R E 2 Ids Sorts Based On the Relevant Deploymentmentioning

confidence: 99%

A deep and systematic review of the intrusion detection systems in the fog environment

Yi¹,

Yin²,

Darbandi

2022

Trans Emerging Tel Tech

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Fog computing has arisen to complement cloud computing, offering a cost-effective architecture to power the Internet of things. Fog computing is a network computing and service paradigm that expands cloud computing and services to the network's edge to solve the cloud's fundamental shortcomings, like a lack of location awareness, mobility, and latency. Besides, fog devices may have security issues because fog nodes are near end-users and have limited computational power. As the linked devices in the Internet of things grow exponentially, so does the potential for cyber-attack. Intrusion detection systems have been developed as a feasible tool for detecting and preventing harmful activity in this vein. This work used a systematic literature review to examine intrusion detection system approaches in a fog environment. By categorizing intrusion detection systems in the literature, we produce a review. An intrusion detection system's characteristic is early identification of an attack and the decrease of false alarms as a result. Some of the issues that these systems' designers will face are also discussed. Recall rate, detection rates, detection delay, and detection precision were the parameters that received the most attention. This report will serve as a roadmap for future network intrusion detection studies in fog computing. 1• Numerous fog nodes are managed and controlled by a cloud computing center.

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“…A completely random set has been chosen to reduce the chance of biasness. e applicability of keys on sensitive data is shown by key grades [53,54]. In methodology, mainly three keys were used, which give five different types of key distribution individually or in combination.…”

Section: Comparative Analysis Based On Data Securitymentioning

confidence: 99%

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

Soni

Srivastava

Bhatt³

et al. 2022

Mathematical Problems in Engineering

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Cloud computing is a technology that provides resources and utility services based on user demand. Due to this demand, efficient cloud security protocols are highly required, especially at the time of data communication for user authentication and data aggregation. The data communication scenarios are majorly affected by the security threats in the cloud computing environment. This article provides a practical approach to developing an efficient and empirical cloud framework in terms of cloud protocol. The framework uses fuzzy c-means (FCM) algorithm to group data, and calculation is done individually or associatively to rank the text data. Uploaded data are passed to a simple additive weighting (SAW) algorithm for ranking and making decision selection. The framework executes in three phases, namely data preprocessing, clustering, and automatic data security with an alert mechanism. The process is completely automated so there is no need of considering the individual files for the processing and the data held will be appropriately correlated with the sharing inter-cloud environment. To inspect security issues, the proposed framework is secured by three different security algorithms. The encryption process is completed by Rivest Cipher 6 (RC6); the substitution process is done by Advanced Encryption Standard (AES); and key generation is done by RC6, AES, and Rivest-Shamir-Adleman (RSA) approaches collectively. Based on the given situations, these standard approaches were automatically applied separately or collectively. Unauthorized access trapping and data deletion mechanism are also provided in the proposed framework. The experimental results with a comparative study depicted the effectiveness of the proposed work.

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Robust Online CSI Estimation in a Complex Environment

Cited by 29 publications

References 35 publications

Coordinated Development of Smart City and Regional Industrial Economy under the Background of Internet of Things

Coordinated Development of Smart City and Regional Industrial Economy under the Background of Internet of Things

A deep and systematic review of the intrusion detection systems in the fog environment

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

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