Maintaining the Balance between Privacy and Data Integrity in Internet of Things

2017 ◽  
Author(s):  
Md Zakirul Alam Bhuiyan ◽  
Tian Wang ◽  
Thaier Hayajneh ◽  
Gary M. Weiss
Keyword(s):  
Internet Of Things ◽  
Data Integrity

Internet of things data integrity

2017 ◽  
Author(s):  
Gift Matsemela ◽  
Suvendi Rimer ◽  
Khmaies Ouahada ◽  
Richard Ndjiongue ◽  
Zinhle Mngomezulu
Keyword(s):  
Internet Of Things ◽  
Data Integrity

scholarly journals A Dual-Chaining Watermark Scheme for Data Integrity Protection in Internet of Things

2019 ◽  
Vol 58 (3) ◽  
pp. 679-695 ◽  
Author(s):  
Baowei Wang ◽  
Weiwen Kong ◽  
Wei Li and Neal N. Xiong
Keyword(s):  
Internet Of Things ◽  
Data Integrity ◽  
Watermark Scheme ◽  
Integrity Protection

scholarly journals Testbed versus simulation approach on RF communication with AAβ asymmetric encryption scheme on internet of things devices

2019 ◽  
Vol 14 (1) ◽  
pp. 353
Author(s):  
Syed Farid Syed Adnan ◽  
Mohd Anuar Mat Isa ◽  
Habibah Hashim
Keyword(s):  
Internet Of Things ◽  
Data Integrity ◽  
The Internet ◽  
Communication Analysis ◽  
Rf Transceiver ◽  
Embedded Devices ◽  
Single Character ◽  
Rf Communication ◽  
Asymmetric Encryption ◽  
Iot Devices

<p>The revolution of the Internet of Things (IoT) has given a better way of monitoring things including anything that could gather data and share the information over the internet. Most of the connected things are using Device to Device (D2D) connection to make it available on the internet such as client to a broker or client to a server. However, when IoT devices such as embedded devices and sensors that are connected to the internet, it becomes an open path for attackers to acquire the data and data vulnerably will become an issue. Thus, data integrity might become an issue, or the attackers could temper the data and could cause a disastrous domino effect to the interconnected IoT devices. Therefore, the data security collected from the sensors is substantial even though it could be a single character transmitted. However, IoT sensors are low powered devices in term of CPU, storage, memory and batteries. Securing the devices such as integrating the encryption algorithm computations might give overhead to the sensors and draining the batteries even faster than it is predicted. Alternatively, this paper attempts to explore the capabilities of the asymmetric scheme on resource constrained devices for its communications. Thus, this paper presents an RF communication analysis of a low consumption asymmetric encryption, the AA<sub>β</sub> (AA-Beta) especially on encryption section that is likely to be feasible on IoT devices to preserve the data integrity. The design of RF transmission has been considered to suit the RF transceiver capability to prevent data losses and error from occurring. The result shows that 2.35 times of RF transmits runtime increased compared to RF simulation runtime. Meanwhile, at the receiver side, the runtime increases 60% compared to the simulation.</p>

scholarly journals Proof of Concept of Scalable Integration of Internet of Things and Blockchain in Healthcare

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1389 ◽  
Author(s):  
Krishna Prasad Satamraju ◽  
Malarkodi B
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Data Integrity ◽  
Security Threats ◽  
Proof Of Concept ◽  
Power Performance ◽  
Privacy And Security ◽  
Physical Threat ◽  
Iot Devices ◽  
Performance Results

The advent of Internet of Things (IoT) brought innovation along with unprecedented benefits of convenience and efficacy in many operations that were otherwise very cumbersome. This innovation explosion has surfaced a new dimension of vulnerability and physical threat to the data integrity of IoT networks. Implementing conventional cryptographic algorithms on IoT devices is not future-proof as these devices are constrained in terms of computational power, performance, and memory. In this paper, we are proposing a novel framework, a unique model that integrates IoT networks with a blockchain to address potential privacy and security threats for data integrity. Smart contracts are instrumental in this integration process and they are used to handle device authentication, authorization and access-control, and data management. We further share a new design model for interfaces to integrate both platforms while highlighting its performance results over the existing models. With the incorporation of off-chain data storage into the framework, overall scalability of the system can be increased. Finally, our research concludes how the proposed framework can be fused virtually into any existing IoT applications with minimal modifications.

scholarly journals A Novel Combination of Distributed Ledger Technologies on Internet of Things: Use Case on Precision Agriculture

2019 ◽  
Vol 2 (3) ◽  
pp. 30
Author(s):  
Odysseas Lamtzidis ◽  
Dennis Pettas ◽  
John Gialelis
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Field Data ◽  
Smart Cities ◽  
Data Integrity ◽  
Intelligent Decision Making ◽  
Distributed Ledger ◽  
Super Node ◽  
Iot Devices ◽  
Open Source Communities

Internet-of-Things (IoT) is an enabling technology for numerous initiatives worldwide such as manufacturing, smart cities, precision agriculture, and eHealth. The massive field data aggregation of distributed administered IoT devices allows new insights and actionable information for dynamic intelligent decision-making. In such distributed environments, data integrity, referring to reliability and consistency, is deemed insufficient and requires immediate facilitation. In this article, we introduce a distributed ledger (DLT)-based system for ensuring IoT data integrity which securely processes the aggregated field data. Its uniqueness lies in the embedded use of IOTA’s ledger, called “The Tangle”, used to transmit and store the data. Our approach shifts from a cloud-centric IoT system, where the Super nodes simply aggregate and push data to the cloud, to a node-centric system, where each Super node owns the data pushed in a distributed and decentralized database (i.e., the Tangle). The backend serves as a consumer of data and a provider of additional resources, such as administration panel, analytics, data marketplace, etc. The proposed implementation is highly modularand constitutes a significant contribution to the Open Source communities, regarding blockchain and IoT.

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