IoT Security Framework for Smart Water System

Author(s):  
Jesus Pacheco ◽  
Daniela Ibarra ◽  
Ashamsa Vijay ◽  
Salim Hariri
2020 ◽  
Vol 3 (5) ◽  
Author(s):  
Pandit Byomakesha Dash ◽  
Janmenjoy Nayak ◽  
Bighnaraj Naik ◽  
Etuari Oram ◽  
SK Hafizul Islam

Author(s):  
M. S. Bennet Praba ◽  
Naresh Rengaswamy ◽  
Vishal ◽  
O. Deepak
Keyword(s):  

2019 ◽  
Vol 295 ◽  
pp. 01003
Author(s):  
Abdallah AL-NAEMI ◽  
Isam SHAHROUR

This paper presents the transformation of the water system of the Education City in Doha (Qatar) into a smart water system. This city covers an area of 14 km2 and includes 80 buildings. The water system provides drinking, irrigation and fire protection services. It suffers from the use of fragmented management systems and from a lack of real-time monitoring, which result in a deterioration of efficiency of the water system and users’ information The paper describes the water system and then the architecture of the smart water solution and its use for leak detection, water quality control and operation safety.


2019 ◽  
pp. 689-693
Author(s):  
Veselka Stoyanova

The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect smart buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. IoT will lead to the development of a wide range of advanced information services that need to be processed in real-time and require data centers with large storage and computing power. In this paper, we present an IoT security framework for smart infrastructures such as Smart Homes (SH) and smart buildings (SB). I also present a general threat model that can be used to develop a security protection methodology for IoT services against cyber-attacks (known or unknown).


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4038 ◽  
Author(s):  
Ion Bica ◽  
Bogdan-Cosmin Chifor ◽  
Ștefan-Ciprian Arseni ◽  
Ioana Matei

Ambient intelligence is a new paradigm in the Internet of Things (IoT) world that brings smartness to living environments to make them more sensitive; adaptive; and personalized to human needs. A critical area where ambient intelligence can be used is health and social care; where it can improve and sustain the quality of life without increasing financial costs. The adoption of this new paradigm for health and social care largely depends on the technology deployed (sensors and wireless networks), the software used for decision-making and the security, privacy and reliability of the information. IoT sensors and wearables collect sensitive data and must respond in a near real-time manner to input changes. An IoT security framework is meant to offer the versatility and modularization needed to sustain such applications. Our framework was designed to easily integrate with different health and social care applications, separating security tasks from functional ones and being designed with independent modules for each layer (Cloud, gateway and IoT device), that offer functionalities relative to that layer.


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