Achieving Reliable and Secure Communications in Wireless-Powered NOMA Systems

Cao, Kunrui; Wang, Buhong; Ding, Haiyang; Lv, Lu; Tian, Jiwei; Hu, Hang; Gong, Fengkui

doi:10.1109/tvt.2021.3053093

Cited by 114 publications

(34 citation statements)

References 17 publications

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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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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

View full text Add to dashboard Cite

show abstract

“…The key benefit of this design is that the service is constantly accessible and never stops as long as the vehicle's Internet connection to the cloud is steady 46 . Also, various difficulties exist when it comes to achieving resource‐efficient and reliable Device‐to‐Device (D2D) communication 47 . It is critical to consider system capability and interference circumstances when assigning resources.…”

Section: Introductionmentioning

confidence: 99%

“…46 Also, various difficulties exist when it comes to achieving resource-efficient and reliable Deviceto-Device (D2D) communication. 47 It is critical to consider system capability and interference circumstances when assigning resources. The first is the issue of immediate network load control in the face of non-stationary D2D communication requirements.…”

mentioning

confidence: 99%

Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

Yang

et al. 2023

Int J Communication

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Traffic congestion, air pollution, fuel wastage, and car accidents are all exacerbated by increased traffic. Thus, vehicular communications, which refer to information transmission between cars, pedestrians, and infrastructures, have lately gained popularity and been extensively explored due to their enormous potential to enable intelligent transportation and various safety applications. Manually piloted cars and automated vehicles can acquire relevant information via vehicular communications to enhance traffic security and boost entertainment services. The basic concept of automobile clouds was originally published in the literature not long ago, and several suggested structural approaches have been presented in this study thus far. Several academics have concentrated on the structural layout to address various problems and, as a result, satisfy user expectations in order to give dependable services. We examined various vehicular cloud topologies in this study. We also offered a complete summary of current network layer research on allowing efficient vehicle communications and examined specific security, architectural, and reliability concerns in vehicular clouds. Also, the taxonomy of vehicular networks was discussed in terms of the service link between vehicular networks and cloud computing. Ultimately, we discussed the research prospects available. The results showed that security and privacy challenges are among the most important challenges.cloud computing, vehicular ad hoc network, vehicular cloud architecture, vehicular communication | INTRODUCTIONBecause of its vast application domains, like commercial-oriented, safety-relevant, and convenience-centered applications, 1-3 vehicular networks have recently gained much study interest. 4 Real-time traffic, notice after a crash, cooperative message transmission, warning of a coordinated collision, and traffic vigilance are some safety-relevant applications that may be categorized. 5 Distant vehicle personalization/diagnostics, digital map downloading, Internet access, value-added commercials and advertisements, and real-time entertainment video relay are included in the commercial-centered application. 6 Route diversions, parking availability, electronic toll collection, and active prediction help are examples of convenience-centered applications. 1,7,8 So, vehicle networks must meet some most stringent standards in all these essential application fields. 2,9 Time-critical Vehicle-to-Vehicle (V2V) safety applications necessitate

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“…The worldwide web has become the most common, least expensive and fastest communication medium in the world today ( Cao et al, 2021 ; Kotzur, 2022 ). Tens of millions of people are using it for their daily activities due to its convenient access and variety of available services.…”

Section: Introductionmentioning

confidence: 99%

Cross-site scripting attack detection based on a modified convolution neural network

Yan

Feng

You³

et al. 2022

Front. Comput. Neurosci.

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Cross-site scripting (XSS) attacks are currently one of the most threatening network attack methods. Effectively detecting and intercepting XSS attacks is an important research topic in the network security field. This manuscript proposes a convolutional neural network based on a modified ResNet block and NiN model (MRBN-CNN) to address this problem. The main innovations of this model are to preprocess the URL according to the syntax and semantic characteristics of XSS attack script encoding, improve the ResNet residual module, extract features from three different angles, and replace the full connection layer in combination with the 1*1 convolution characteristics. Compared with the traditional machine learning and deep learning detection models, it is found that this model has better performance and convergence time. In addition, the proposed method has a detection rate compared to a baseline of approximately 75% of up to 99.23% accuracy, 99.94 precision, and a 98.53% recall value.

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Achieving Reliable and Secure Communications in Wireless-Powered NOMA Systems

Cited by 114 publications

References 17 publications

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

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

Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

Cross-site scripting attack detection based on a modified convolution neural network

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