Device classification based data encryption for internet of things

2020 ◽  
Vol 16 (1) ◽  
pp. 36
Author(s):  
T.P. Sharma ◽  
N.A. Rishabh
Keyword(s):  
Internet Of Things ◽  
Data Encryption ◽  
Device Classification

Data Encryption Mechanism for Power Internet of Things Based on Data Characteristics

2021 ◽  
Author(s):  
Xiuming Yu ◽  
Ping Zhou ◽  
Shaoyong Guo ◽  
Zijian Chang
Keyword(s):  
Internet Of Things ◽  
Data Encryption

Secure Data Encryption Based on Quantum Walks for 5G Internet of Things Scenario

2020 ◽  
Vol 17 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Ahmed A. Abd El-Latif ◽  
Bassem Abd-El-Atty ◽  
Wojciech Mazurczyk ◽  
Carol Fung ◽  
Salvador E. Venegas-Andraca
Keyword(s):  
Internet Of Things ◽  
Data Encryption ◽  
Quantum Walks ◽  
Secure Data

Nanosilver Conductive Ink Inkjet Printing RFID Tag Antenna

2013 ◽  
Vol 469 ◽  
pp. 322-325 ◽  
Author(s):  
Zhi Qiang Gao ◽  
Xiu Ping Zhao
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Chemical Reduction ◽  
Production Method ◽  
Data Encryption ◽  
Reduction Reaction ◽  
The Internet ◽  
Protective Agent ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things technology used in agricultural products, such as food safety traceability management is taking the technological advantages of the Internet of Things RFID (Radio Frequency IDentification) is non-contact automatic fast read and write data encryption, in order to achieve a unified management and efficient flow of work in coordination.This thesis reports a production method of conductive nanosilver jet ink. The ink can be used to directly print RFID antenna coil. In the method using silver nitrate as silver source, hydrazine hydrate as a reducing agent, polyvinyl pyrrolidone as a protective agent. Obtain the dispersion of silver nanoparticles through chemical reduction reaction. The dispersion was purified and used inkjet printer into a graphic on glossy photo paper, after 180 °C sintered for 15 minutes with good conductivity, RFID antennas to meet requirements.

Internet of Things Testing Framework, Automation, Challenges, Solutions and Practices

2019 ◽  
pp. 87-124
Author(s):  
Karthick G. S. ◽  
Pankajavalli P. B.
Keyword(s):  
Internet Of Things ◽  
Physical World ◽  
Smart Devices ◽  
The Internet ◽  
Testing Framework ◽  
The Core ◽  
Iot Applications ◽  
Core Components ◽  
Device Classification ◽  
The Internet Of Things

The internet of things (IoT) is aimed at modifying the life of people by adopting the possible computing techniques to the physical world, and thus transforming the computing environment from centralized form to decentralized form. Most of the smart devices receive the data from other smart devices over the network and perform actions based on their implemented programs. Thus, testing becomes an intensive process in the IoT that will require some normalization too. The composite architecture of IoT systems and their distinctive characteristics require different variants of testing to be done on the components of IoT systems. This chapter will discuss the necessity for IoT testing in terms of various criteria of identifying and fixing the problems in the IoT systems. In addition, this chapter examines the core components to be focused on IoT testing and testing scope based on IoT device classification. It also elaborates the various types of testing applied on healthcare IoT applications, and finally, this chapter summarizes the various challenges faced during IoT testing.

Internet of Things Testing Framework, Automation, Challenges, Solutions and Practices

2022 ◽  
pp. 571-601
Author(s):  
Karthick G. S. ◽  
Pankajavalli P. B.
Keyword(s):  
Internet Of Things ◽  
Physical World ◽  
Smart Devices ◽  
The Internet ◽  
Testing Framework ◽  
The Core ◽  
Iot Applications ◽  
Core Components ◽  
Device Classification ◽  
The Internet Of Things

The internet of things (IoT) is aimed at modifying the life of people by adopting the possible computing techniques to the physical world, and thus transforming the computing environment from centralized form to decentralized form. Most of the smart devices receive the data from other smart devices over the network and perform actions based on their implemented programs. Thus, testing becomes an intensive process in the IoT that will require some normalization too. The composite architecture of IoT systems and their distinctive characteristics require different variants of testing to be done on the components of IoT systems. This chapter will discuss the necessity for IoT testing in terms of various criteria of identifying and fixing the problems in the IoT systems. In addition, this chapter examines the core components to be focused on IoT testing and testing scope based on IoT device classification. It also elaborates the various types of testing applied on healthcare IoT applications, and finally, this chapter summarizes the various challenges faced during IoT testing.

scholarly journals Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment

2020 ◽  
Vol 16 (3) ◽  
pp. 155014772091100
Author(s):  
Yuan Gao ◽  
Hequn Xian ◽  
Aimin Yu
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Item Response ◽  
Data Security ◽  
Data Privacy ◽  
Data Encryption ◽  
Dynamic Adjustment ◽  
Data Deduplication ◽  
First Time ◽  
The Ideal

Large amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensure data security for deduplication, different data should be assigned with different privacy levels. We propose a deduplication scheme based on threshold dynamic adjustment to ensure the security of data uploading and related operations. The concept of the ideal threshold is introduced for the first time, which can be used to eliminate the drawbacks of the fixed threshold in traditional schemes. The item response theory is adopted to determine the sensitivity of different data and their privacy score, which ensures the applicability of data privacy score. It can solve the problem that some users care little about the privacy issue. We propose a privacy score query and response mechanism based on data encryption. On this basis, the dynamic adjustment method of the popularity threshold is designed for data uploading. Experiment results and analysis show that the proposed scheme based on threshold dynamic adjustment has decent scalability and practicability.

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