User Sensitive Information Protection Scheme Based on Blockchain Technology

Luo, Sheng

doi:10.1155/2022/2328734

Cited by 3 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an alternative to the password system or its addition, user identification based on biometric characteristics and signs can be considered. Biometric technologies of identification and authentication have a number of advantages over traditional ones and are increasingly used in computer systems and various spheres of information activity [2]. Biometric verification of your biological data, and not just verification of a password that can be stolen, intercepted or guessed, is the key to the expansion of e-commerce, the creation of new information security systems in corporate networks and other modern systems.…”

Section: Methods Of Intellectual Analysis and Comparison Of Fingerprintsmentioning

confidence: 99%

Development of a Fingerprint Pattern Matching Method Using K-Means

Nazarkevych¹,

Petrov²,

Onopriychuk³

et al. 2022

ELIT

View full text Add to dashboard Cite

Biometric identification methods wstudied. Biometric identification of fingerprints and methods of their use are analyzed. As a recognition, fingerprint-based intelligent analysis identification is preferred, in particular the matching of a scanned fingerprint to a template. The paper analyzed the main filtering algorithms of the K-Means clustering method. The the study result of the program operation with the presented method of filtering the fingerprints were obtained. The developed identification system is based on Arduino Nano in combination with a DY50 fingerprint scanner. The software of this system is implemented using the C++ language and integrated using the Arduino IDE.

show abstract

Section: Methods Of Intellectual Analysis and Comparison Of Fingerprintsmentioning

confidence: 99%

Development of a Fingerprint Pattern Matching Method Using K-Means

Nazarkevych¹,

Petrov²,

Onopriychuk³

et al. 2022

ELIT

View full text Add to dashboard Cite

show abstract

“…In recent years, blockchain technology [20][21][22][23] has developed rapidly. Due to its characteristics of decentralization, anonymity, and trust, a large number of researchers have done more and more research work on the combination of blockchain and Internet of vehicles from different angles.…”

Section: Lack Of Efficient Resource Scheduling Mechanismmentioning

confidence: 99%

“…Figure 1 is the model diagram of the mobile vehicle computing task offloading system based on the alliance blockchain [20][21][22][23] designed in this paper. e model mainly includes three classes of entities: trusted Authority (TA), roadside unit (RSU), and mobile vehicles.…”

Section: System Entitiesmentioning

confidence: 99%

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

Chen

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers’ vehicles and improve the operation efficiency of the whole vehicle network.

show abstract

“…Nowadays, indoor localization [1,2] has been widely used in many applications, like searching and rescuing people alive in the earthquake [3], detection for mining safety, battlefeld military applications, patient monitoring, and intrusion detection [4,5], and so on [6][7][8]. A wearable sensor based localization technique has been proposed and has shown decent performance for indoor localization.…”

Section: Introductionmentioning

confidence: 99%

PLAP: CSI-Based Passive Localization with Amplitude and Phase Information Using CNN and BGRU

Wang

Yao

et al. 2023

Mobile Information Systems

View full text Add to dashboard Cite

With the increasing popularization and development of WiFi devices, nowadays WiFi-based indoor localization has become a hot topic. Traditional Wi-Fi-based localization technologies which utilize received signal strength indication suffer from indoor multi-path effects and result in localization performance degradation. Therefore, choosing the appropriate characteristic of the WiFi signal is crucial for indoor localization. To improve the localization accuracy, we propose PLAP, a passive localization method using amplitude and phase of channel state information (CSI). Specifically, Hampel filter is used to process the amplitude signals and linear transformation is employed for calibrating phases. To extract representative features from calibrated amplitude and phase signals, we developed a deep learning framework which combines a convolutional neural network (CNN) and a bi-directional Gated recurrent unit (BGRU) to estimate the location of an objective. The experimental results show that the proposed PLAP outperforms other baselines with real-world evaluation.

show abstract

User Sensitive Information Protection Scheme Based on Blockchain Technology

Cited by 3 publications

References 23 publications

Development of a Fingerprint Pattern Matching Method Using K-Means

Development of a Fingerprint Pattern Matching Method Using K-Means

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

PLAP: CSI-Based Passive Localization with Amplitude and Phase Information Using CNN and BGRU

Contact Info

Product

Resources

About