scholarly journals Provable Data Integrity of Cloud Storage Service With Enhanced Security in the Internet of Things

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 6226-6239 ◽  
Author(s):  
Jialing He ◽  
Zijian Zhang ◽  
Meng Li ◽  
Liehuang Zhu ◽  
Jingjing Hu
Keyword(s):  
Internet Of Things ◽  
Cloud Storage ◽  
Data Integrity ◽  
The Internet ◽  
Cloud Storage Service ◽  
Storage Service ◽  
The Internet Of Things

scholarly journals Secure Cloud Storage Service Using Bloom Filters for the Internet of Things

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 60897-60907 ◽  
Author(s):  
Junho Jeong ◽  
Jong Wha J. Joo ◽  
Yangsun Lee ◽  
Yunsik Son
Keyword(s):  
Internet Of Things ◽  
Cloud Storage ◽  
Bloom Filters ◽  
The Internet ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Secure Cloud Storage ◽  
The Internet Of Things

Data Integrity Techniques in Cloud Computing: An Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 121 ◽  
Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Data Integrity ◽  
Advantages And Disadvantages ◽  
Security Models ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Cloud Users ◽  
It Enterprises

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.

scholarly journals RAIN: A Bio-Inspired Communication and Data Storage Infrastructure

2017 ◽  
Vol 23 (4) ◽  
pp. 552-557 ◽  
Author(s):  
Matteo Monti ◽  
Steen Rasmussen
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Distributed Networks ◽  
The Internet ◽  
Privacy By Design ◽  
Government Administration ◽  
Community Ownership ◽  
File Storage ◽  
Storage Service ◽  
The Internet Of Things

We summarize the results and perspectives from a companion article, where we presented and evaluated an alternative architecture for data storage in distributed networks. We name the bio-inspired architecture RAIN, and it offers file storage service that, in contrast with current centralized cloud storage, has privacy by design, is open source, is more secure, is scalable, is more sustainable, has community ownership, is inexpensive, and is potentially faster, more efficient, and more reliable. We propose that a RAIN-style architecture could form the backbone of the Internet of Things that likely will integrate multiple current and future infrastructures ranging from online services and cryptocurrency to parts of government administration.

scholarly journals Security analysis of the message queuing telemetry transport protocol

2021 ◽  
Vol 13 (2) ◽  
pp. 83-95
Author(s):  
Matheus Ferraz Silveira ◽  
André L. S. Gradvohl
Keyword(s):  
Internet Of Things ◽  
Security Analysis ◽  
Data Integrity ◽  
Data Encryption ◽  
The Internet ◽  
Transport Protocol ◽  
Network Connection ◽  
The Internet Of Things

The Internet of Things aims to assign computational processing and connection to simple objects on a network tocollect data and then perform analysis. Due to its easy use, simplified implementation has several informationsecurity problems. This article presents attack procedures in an IoT environment using the Message QueueTelemetry Transport protocol. For attack procedures, we use the Low Orbit Ion Cannon and Wireshark programs,compromising the integrity, confidentiality, and availability of data and network connection. After carrying outthe attack procedures, we implemented security methods on the network, such as data encryption and firewall toprotect data integrity and prevent network connection attacks

scholarly journals IOT - Overview, Implementation and Upcoming Challenges

2020 ◽  
pp. 215-218
Author(s):  
Sativilla Mohan Kumar ◽  
Advin Manhar
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Data Integrity ◽  
The Other ◽  
The Internet ◽  
Long Distance ◽  
Physical Objects ◽  
A Chain ◽  
The Internet Of Things

IoT is a chain of Physical Objects that are installed with sensors, software, and other technologies for the goal of connecting and transferring data with other devices and systems over the Internet. In many research, it has been found that the data and communication between the Internet of Things are insecure. Also, the data which is transferred from one end to the other end is accessible for a shorts distance. A discovered protocol for Data Integrity in IoT communication. A protocol for providing an environmental monitoring solution and a system that facilitates the practical experimentation of the IoT solutions. After the data is secured with the protocols and it has received an environment for the experiments, the message has to be sent over a long distance.

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