First step towards an IoT implementation of a wireless sensors network for environmental radiation monitoring

Tocchi, Alessandro; Roca, V.; Angrisani, L.; Bonavolontà, Francesco

doi:10.1109/i2mtc.2017.7969754

Cited by 23 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to evaluate the performance of our proposed authentication protocol based on EPNR Decrypt encrypted Hash(Nonce||Ts) with (E, N) (9) Generate Hash(Nonce||T s ) from the result of (9) (10) Hash(Nonce||T s ) comparison/confirmation (11) Generate Hash(ID R ) (12) Double encryption to Hash(ID R ) (13) Encrypt e and n with (E, N) ( 14) Disguise result of ( 13) and ( 14) with K 3 ,K 4 , and K 5 (15) Generate Nonce and Timestamp (T R ) (16) Generate Hash (Nonce||T R ) and encrypt with (e, n) (17) Conversion result of ( 15) and ( 17) to ASCII code (18) Concatenate the result of ( 18) with Nonce||T R ( 19)…”

Section: Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

High Secure Initial Authentication Protocol based on EPNR Cryptosystem for Supporting Radiation Monitoring System

Hermawan¹,

Winarko²,

Ashari³

et al. 2021

IJIES

View full text Add to dashboard Cite

Radiation monitoring data is very important to support the safety of nuclear installation. The data should be ensured generated and supplied by an authenticated sensor. The new sensor should apply mutual authentication to server before joint the system. This research proposes a high secure authentication protocol based on Eight Prime Number of Modified RSA Algorithm (EPNR) method as certificateless mechanism to protect authenticity and confidentiality of sensor's identity. The main advantages of the protocol are designed for simpler direct point to point connection, using one-time random keys, and implementing five-barrier data protection mechanism. Its performances in context security, running time, and Quality of Services have been compared to other models. The proposed protocol is faster 29.9 times in random key generation, 7.27 times in encryption, and 11.1 times in decryption duration, compared to the others model based on RSA scheme. It has better performances in throughput and delay time. It also has enhanced resistance to statistical, replay, and MITM attack.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

“…Some related researches to radiation monitoring have been conducted [13][14][15][16]. However, they were purely focused on local communication without considering outside communication and required security aspects, especially in mechanism of device authentication.…”

Section: Related Workmentioning

confidence: 99%

High Secure Initial Authentication Protocol based on EPNR Cryptosystem for Supporting Radiation Monitoring System

Hermawan¹,

Winarko²,

Ashari³

et al. 2021

IJIES

View full text Add to dashboard Cite

show abstract

“…For water monitoring, sensors that detect water levels could provide early warnings of water disasters, such as floods, allowing people the time to evacuate or plan in advance of the event [80]. Similarly, radiological risk monitoring helps reduce or eliminate the consequences of the release of radiation elements by providing early detection [81]. Sensors that could predict air temperature and relative air humidity could also help detect and manage the spread of fungal diseases in crop fields, which are important for providing food to the population [82].…”

Section: Internet Of Things In Environment and Healthmentioning

confidence: 99%

Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things

Bublitz

Oetomo

Sahu

et al. 2019

IJERPH

110

View full text Add to dashboard Cite

The purpose of this descriptive research paper is to initiate discussions on the use of innovative technologies and their potential to support the research and development of pan-Canadian monitoring and surveillance activities associated with environmental impacts on health and within the health system. Its primary aim is to provide a review of disruptive technologies and their current uses in the environment and in healthcare. Drawing on extensive experience in population-level surveillance through the use of technology, knowledge from prior projects in the field, and conducting a review of the technologies, this paper is meant to serve as the initial steps toward a better understanding of the research area. In doing so, we hope to be able to better assess which technologies might best be leveraged to advance this unique intersection of health and environment. This paper first outlines the current use of technologies at the intersection of public health and the environment, in particular, Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT). The paper provides a description for each of these technologies, along with a summary of their current applications, and a description of the challenges one might face with adopting them. Thereafter, a high-level reference architecture, that addresses the challenges of the described technologies and could potentially be incorporated into the pan-Canadian surveillance system, is conceived and presented.

show abstract

“…The Lopy is a multi-bearer microcontroller that is able to communicate via LoRa, Wi-Fi, and Bluetooth protocols. These features make it particularly suitable for the development of devices to be integrated into IoT platforms [28].…”

Section: Data Transmissionmentioning

confidence: 99%

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Angrisani¹,

Bonavolontà²,

Liccardo³

et al. 2018

Energies

Self Cite

View full text Add to dashboard Cite

Reducing or optimizing electrical power consumption is one of the most fundamental goals within the current frameworks of smart energy management. This approach would be spread from the industrial plants, characterized by high consumptions often well distributed throughout the day, down to the domestic utilities, typically discontinuous and with limited consumption at the single user level. More specifically, it is desirable for the latter case to be able to control in a simple and effective way the power consumption of typical household appliances by means of technologies that are already used and spread (such as tablets and smartphones) to become aware of their actual impact, both economic and environmental. To this aim, the authors present the proof-of-principle of user-friendly monitoring system for power consumption awareness based on the recent technologies of Internet of Things (IoT) and Augmented Reality (AR). In particular, common devices such as smartphones associated along with appropriate measurement nodes and a suitable app, developed to the purpose, allow consumers to view in AR environment electrical consumption of their domestic electrical loads to consciously decide whether to switch them off. Performance of both sensor nodes and AR environment were preliminarily assessed in either laboratory experiments or actual household context, highlighting the promising effectiveness of the proposed approach.

show abstract

First step towards an IoT implementation of a wireless sensors network for environmental radiation monitoring

Cited by 23 publications

References 10 publications

High Secure Initial Authentication Protocol based on EPNR Cryptosystem for Supporting Radiation Monitoring System

High Secure Initial Authentication Protocol based on EPNR Cryptosystem for Supporting Radiation Monitoring System

Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things

Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Contact Info

Product

Resources

About