scholarly journals Secure Smart Green House Farming using Blockchain Technology

2021 ◽  
Vol 12 (6) ◽  
pp. 2858-2865
Author(s):  
P.Chinnasamy Et al.
Keyword(s):  
Secure Communication ◽  
Remote Access ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Agricultural Technologies ◽  
Security Breaches ◽  
Green House ◽  
Blockchain Technology ◽  
Iot Devices ◽  
Smart Green House

The evolving agricultural technologies used mostly for remote access and modernization in farming connected via the Internet of Things (IoT) have been grown rapidly. However because of the wide size of all its broadcaster's propagandizing existence, it has some significant concerns with respect to security and privacy. We utilize blockchain to address such security breaches, allowing the development of a decentralized distributed blockchain system that's also exchanged between the IoT cluster heads. This article's major focus is provide smart greenhouse farmlands with a portable blockchain-based infrastructure which offers integrity and confidentiality. Where, green-house IoT sensor nodes are function as a blockchain centrally controlled to optimize the energy consumption by utilizing secure immutable ledgers. Furthermore, we present a significant solution that integrates blockchain technology via IoT devices to offer Smart Greenhouse cultivation with an enhanced secure communication.

scholarly journals Optimized ECDSA Algorithm for Secure and Efficient use in IoT Network

2020 ◽  
Vol 8 (5) ◽  
pp. 980-984
Keyword(s):  
Elliptic Curve ◽  
Secure Communication ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Communication Model ◽  
Network Simulator ◽  
Encryption Scheme ◽  
Human Communication ◽  
Iot Devices ◽  
Digital Signature Scheme

Internet of Thing (IoT) enhances the heterogeneous communication facility by providing Thing-to-Thing, Human-to-Thing, and Human-to-Human communication schemes. Various kind of threats and vulnerability cause sensor equipped IoT environment at a larger scale. So security and privacy are two important factors that must rely on IoT communication model. IoT network has some capability constraints that affect the deployment of realistic IoT application at a wider level like healthcare system and smart grid, smart city. One of the security concerns of the IoT network is the need of light-weighted encryption scheme. Elliptic Curve Cryptography (ECC) simulation with integrated encryption scheme is the most prominent solution for IoT devices to develop lightweight encryption technology. Here, Optimized Elliptic Curve Digital signature scheme is proposed to achieve secure communication between IoT sensor nodes. The results of optimized ECDSA algorithm are analyzed on Cooja simulator that is a IoT network simulator

scholarly journals Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 404
Author(s):  
Yasmeen Al-Saeed ◽  
Eman Eldaydamony ◽  
Ahmed Atwan ◽  
Mohammed Elmogy ◽  
Osama Ouda
Keyword(s):  
Secure Communication ◽  
Key Agreement ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Physiological Data ◽  
Computer Assisted ◽  
Body Area ◽  
Key Agreement Protocol

Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.

scholarly journals Efficient Temporal-key Based Encryption Mechanism for WSN-ETEM

2020 ◽  
Vol 9 (5) ◽  
pp. 143-148
Keyword(s):  
Key Management ◽  
Secure Communication ◽  
Energy Savings ◽  
Security Protocols ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Computational Overhead ◽  
Secure Data Transmission ◽  
Additional Support

Wireless sensor networks (WSNs) are a promising technology for several industrial real-time and quotidian applications. Due to inherent limitations in WSN, security is a crucial issue. Cryptographic primitives are the fundamental components for designing security protocols to achieve security and privacy in WSN. Based on the review, it has been analyzed that the majority of security protocols for WSN are based on encryption and key distribution. The main open issue for these approaches concerns the establishment of security with an involvement of complex procedure, which presents considerable memory overheads, in contrast with the limited resources of sensor nodes. Therefore, the proposed work presents the modeling of an analytical approach for efficient encryption using temporal key management for robust security services to resists potential attacks and enables secure communication. The utilization of temporal-key mechanism in encryption operation offers additional support to routing operation in the network for secure data transmission with negligible computational overhead, thus preserving a higher level of energy savings in packet transmission operation. The validation of the proposed system performance is carried out a simulation study, which shows the effectiveness of the proposed system in terms of node remaining energy and processing time.

scholarly journals A Research on impact of Blockchain in Healthcare

2019 ◽  
Vol 8 (9S2) ◽  
pp. 35-40
Keyword(s):  
Third Party ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Blockchain Technology ◽  
Location Sharing ◽  
Authentication And Authorization ◽  
Promising Solution ◽  
Iot Devices ◽  
Remote Patient ◽  
Education Science

Blockchain refers to a distributed ledger technology that represents an innovation in recording and sharing information without the need for a trusted third party. Blockchain technology offers new tools for security and privacy concerns. Marching towards digitization and analytics, this technology emerges as a promising solution for authentication and authorization issues. It sounds so amazing that this technology that originated with cryptocurrencies could not only be applied in digital contracts, financial and public records, and property ownership but also in medicine, education, science and so on. The use case of this technology springs up in every possible direction. This article first analyses the need for this breakthrough technology and explains how this technology works. This work presents a review on various types of blockchain, the consensus mechanisms used, their advantages and limitations. It provides an overview on the various use cases of this technology. This work mainly focuses on its application in Healthcare. The goal of this article is to analyze the usage of Blockchain technology in various fields of Healthcare such as Electronic Health Record, Health Insurance, Biomedical Research, Drug Supply, Medical Education, Remote Patient Monitoring, Interoperability, Location Sharing etc., It investigates the current research trends and finds the gaps and limitations of these approaches. Moreover, it proposes some enhancements to fill in the gaps in the present approach. This work also analyses the importance of Wearable Internet of Things (IoT) devices in HealthCare and the integration of these devices with Blockchain. Finally, this work concludes by comparing Blockchain 3.0 with previous versions.

scholarly journals Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 359
Author(s):  
Houshyar Honar Pajooh ◽  
Mohammad Rashid ◽  
Fakhrul Alam ◽  
Serge Demidenko
Keyword(s):  
Internet Of Things ◽  
Performance Metrics ◽  
Security And Privacy ◽  
Practical Implementation ◽  
Blockchain Technology ◽  
Performance Requirements ◽  
Processing Power ◽  
Proposed Model ◽  
Iot Devices ◽  
Research Challenge

Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge. Blockchain technology, as a distributed and decentralized ledger, is a potential solution to tackle the limitations of the current peer-to-peer IoT networks. This paper presents the development of an integrated IoT system implementing the permissioned blockchain Hyperledger Fabric (HLF) to secure the edge computing devices by employing a local authentication process. In addition, the proposed model provides traceability for the data generated by the IoT devices. The presented solution also addresses the IoT systems’ scalability challenges, the processing power and storage issues of the IoT edge devices in the blockchain network. A set of built-in queries is leveraged by smart-contracts technology to define the rules and conditions. The paper validates the performance of the proposed model with practical implementation by measuring performance metrics such as transaction throughput and latency, resource consumption, and network use. The results show that the proposed platform with the HLF implementation is promising for the security of resource-constrained IoT devices and is scalable for deployment in various IoT scenarios.

scholarly journals Lightweight Security Architecture for Iot Device Communication

2019 ◽  
Vol 9 (2) ◽  
pp. 2980-2983
Keyword(s):  
Time Complexity ◽  
Secure Communication ◽  
Human Life ◽  
Energy Resources ◽  
Security And Privacy ◽  
Security Architecture ◽  
Light Weight ◽  
Cryptographic Algorithm ◽  
Cryptographic Algorithms ◽  
Iot Devices

Internet of Things (IoT) becomes part of our daily life. IoT has greatly uplifted the human life and has touched many aspect in our life style. IoT devices are sophisticated lowend device having limited computational and energy resources. Most of the cryptographic algorithms are based on complex mathematical calculation which is not feasible to be computed on IoT devices. Hence presently IoT devices lack strong security features. Security and privacy are becoming the real concern for IoT devices. In this paper we are exploring the various cryptographic algorithm which can be used for IoT device authentication and secure communication. The overall system is designed considering the light weight factor, scalability, time complexity and ease of implementation

scholarly journals A Novel Framework of an IOT-Blockchain-Based Intelligent System

2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Aliaa M. Alabdali
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Security ◽  
Intelligent System ◽  
Security And Privacy ◽  
Self Monitoring ◽  
Smart Systems ◽  
Blockchain Technology ◽  
Iot Devices ◽  
Smart Mobile

With the growing need of technology into varied fields, dependency is getting directly proportional to ease of user-friendly smart systems. The advent of artificial intelligence in these smart systems has made our lives easier. Several Internet of Things- (IoT-) based smart refrigerator systems are emerging which support self-monitoring of contents, but the systems lack to achieve the optimized run time and data security. Therefore, in this research, a novel design is implemented with the hardware level of integration of equipment with a more sophisticated software design. It was attempted to design a new smart refrigerator system, which has the capability of automatic self-checking and self-purchasing, by integrating smart mobile device applications and IoT technology with minimal human intervention carried through Blynk application on a mobile phone. The proposed system automatically makes periodic checks and then waits for the owner’s decision to either allow the system to repurchase these products via Ethernet or reject the purchase option. The paper also discussed the machine level integration with artificial intelligence by considering several features and implemented state-of-the-art machine learning classifiers to give automatic decisions. The blockchain technology is cohesively combined to store and propagate data for the sake of data security and privacy concerns. In combination with IoT devices, machine learning, and blockchain technology, the proposed model of the paper can provide a more comprehensive and valuable feedback-driven system. The experiments have been performed and evaluated using several information retrieval metrics using visualization tools. Therefore, our proposed intelligent system will save effort, time, and money which helps us to have an easier, faster, and healthier lifestyle.

scholarly journals The Future of Low-End Motes in the Internet of Things: A Prospective Paper

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 111 ◽  
Author(s):  
Daniel Oliveira ◽  
Miguel Costa ◽  
Sandro Pinto ◽  
Tiago Gomes
Keyword(s):  
Internet Of Things ◽  
Reconfigurable Computing ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
The Internet ◽  
Wireless Sensor Nodes ◽  
Privacy Concerns ◽  
Energy Needs ◽  
Iot Devices ◽  
The Internet Of Things

Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to be predominant as the number of IoT devices grows towards the trillions. However, their future in the IoT ecosystem still seems foggy, where several challenges, such as (i) device’s connectivity, (ii) intelligence at the edge, (iii) security and privacy concerns, and (iv) growing energy needs, keep pulling in opposite directions. This prospective paper offers a succinct and forward-looking review of recent trends, challenges, and state-of-the-art solutions of low-end IoT motes, where reconfigurable computing technology plays a key role in tomorrow’s IoT devices.

scholarly journals Efficient Authentication Algorithm for Secure Remote Access in Wireless Sensor Networks

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Peter Sungu Nyakomitta ◽  
Vincent Omollo Nyangaresi ◽  
Solomon Odhiambo Ogara
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Bilinear Pairing ◽  
Remote Access ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Learning Approaches ◽  
Privacy And Security ◽  
Critical Data

Wireless sensor networks convey mission critical data that calls for adequate privacy and security protection. To accomplish this objective, numerous intrusion detection schemes based on machine learning approaches have been developed. In addition, authentication and key agreements techniques have been developed using techniques such as elliptic curve cryptography, bilinear pairing operations, biometrics, fuzzy verifier and Rabin cryptosystems. However, these schemes have either high false positive rates, high communication, computation, storage or energy requirements, all of which are not ideal for battery powered sensor nodes. Moreover, majority of these algorithms still have some security and privacy challenges that render them susceptible to various threats. In this paper, a WSN authentication algorithm is presented that is shown to be robust against legacy WSN privacy and security attacks such as sidechannel, traceability, offline guessing, replay and impersonations. From a performance perspective, the proposed algorithm requires the least computation overheads and average computation costs among its peers.

An Energy-Efficient Key Management Scheme using Trust Model for Wireless Sensor Network

2016 ◽  
Vol 4 (1) ◽  
pp. 141
Author(s):  
P. Raja ◽  
E. Karthikeyan
Keyword(s):  
Key Management ◽  
Energy Efficient ◽  
Secure Communication ◽  
Trust Model ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Memory Space ◽  
Security Breaches ◽  
Management Scheme ◽  
Secured Communication

<p>In wireless sensor networks (WSNs), secret shared keys must be established with the neighboring nodes in order to achieve secure communication. The challenge issues for secured communication in WSN are the Key management. Location Dependent Key (LDK) management is a suitable scheme when compared to other location based key management schemes because of lesser memory space requirement and lesser number of keys to be stored on each sensor node. However, the LDK is affected by communication interference problem which is solved by the key is distributed based on trust model. The distributed key updates and revocation processes are effectively resist inside attackers. An energy-efficient Key Management with Trust Model (KM-TM) for WSNs is proposed to achieve the secured communication and the nodes are resisting from the attackers. The performances of proposed KM-TM for WSNs are evaluated in terms of trustworthiness of sensor nodes and security breaches more effectively.  </p>

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