Remote health monitoring through an integration of wireless sensor networks, mobile phones &amp;amp; Cloud Computing technologies

Shah, Sajjad Hussain; Iqbal, Assad; Shah, Syed Shaukat Ali

doi:10.1109/ghtc.2013.6713719

Cited by 26 publications

(15 citation statements)

References 12 publications

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“…Step 1: the attacker extracts the secret data {A i , D i , DID i , H(), h(), R n } from the smartcard by using methods reported in [28]. 4 Security and Communication Networks…”

Section: Offline Dictionary Guessing Attackmentioning

confidence: 99%

“…Internet of ings (IoT), which enables a variety of things to connect each other via the Internet or wireless communication, by employing data-collecting devices such as sensors and radio frequency identification (RFID), has a wide range of applications [1,2]. As an indispensable part of IoT, wireless sensor networks (WSNs) can collect data from specific objects and share them with human beings; thus, WSN is widely applied in many application scenarios, like healthcare service [3,4], environment monitoring [5], and habitats [6]. Wireless medical sensor network (WMSN) is a popular application of WSN for healthcare systems, in which wearable sensors gather the patient's physiological information such as blood pressure, body temperature, and heart rate and send them to the medical professionals for diagnosis or further treatment [7].…”

Section: Introductionmentioning

confidence: 99%

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Cryptanalysis and Security Improvement of Two Authentication Schemes for Healthcare Systems Using Wireless Medical Sensor Networks

Lin

2020

Security and Communication Networks

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Wireless medical sensor networks (WMSNs) play an important role in collecting healthcare data of the remote patient and transmitting them to the medical professional for proper diagnosis via wireless channel. To protect the patient's healthcare data which is private-related and sensitive, some authentication schemes for healthcare systems using WMSN have been proposed to ensure the secure communication between the medical sensors and the medical professional. Since cryptanalyzing the security defects of authenticated protocols is crucial to put forward solutions and propose truly robust protocols, we scrutinize two state-of-the-art authentication protocols using WMSN for healthcare systems. Firstly, we examine Ali et al.’s enhanced three-factor based authentication protocol and show that although it provides a formal proof and a security verification, it still fails to resist offline dictionary guessing attack, desynchronization attack, and privileged insider attack and contains a serious flaw in the password change phase. Secondly, we investigate Shuai et al.’s lightweight and three-factor based authentication protocol and point out that it cannot achieve high security level as they claimed; it is actually subject to offline dictionary guessing attack and privileged insider attack, and it also has a design flaw in the password change phase. In addition, we suggest several countermeasures to thwart these security weaknesses in these two schemes for WMSN and the similar kinds.

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“…Step 1: the attacker extracts the secret data {A i , D i , DID i , H(), h(), R n } from the smartcard by using methods reported in [28]. 4 Security and Communication Networks…”

Section: Offline Dictionary Guessing Attackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cryptanalysis and Security Improvement of Two Authentication Schemes for Healthcare Systems Using Wireless Medical Sensor Networks

Lin

2020

Security and Communication Networks

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“…Each type of sensor has its own advantages and disadvantages; hence choosing an appropriate sensor for a specific ADL is important as described in section II.C. Not all sensors are compatible with the same hub or Wireless sensor network, therefore need a middleware connecting various devices leading to a hybrid system [32,33].…”

Section: Technology Overviewmentioning

confidence: 99%

Sensors in Smart Homes for Independent Living of the Elderly

Pirzada

White

Wilde

2018

2018 5th International Multi-Topic ICT Conference (IMTIC)

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a rapidly ageing population requires support systems which would enable them to preserve dwellers' independence without compromising on their safety or their quality of life. Smart homes for the elderly have the potential to offer unobtrusive health and wellness monitoring. The aim is to provide a safe, independent living environment which can identify and predict problems by monitoring the activities of daily living (ADLs) of the inhabitants. For this, a system able to handle continuous streams of data is required. Such a system can extract the information by using appropriate classification and learning algorithms and thus allow the remote monitoring of health and wellbeing at a high level. The implementation requires: the use of appropriate sensing technologies, identification of ADLs, data pre-processing techniques and machine learning algorithms. This is challenging due to individual differences: such a system must be able to personalize individual needs. Our contribution was the design and implementation of a platform to smartly monitor health condition of elderly using sensor data from a smart home, through an interactive user interface which is user-friendly and multiplatform. This proof-of-concept used off-line data, with the view to extend to real-time data collection in the future, which could then be used to inform support providers remotely.

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“…In order to realize communication between all wireless sensors and actuators, standard protocols from Wireless Sensor Networks (WSNs) and ad-hoc networks are used. However, current protocols designed for WSNs are not always applicable to WBAN [ 24 , 25 , 26 ]. An illustration of a medical WBAN used for patient monitoring is shown in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges

Majumder

Aghayi

Noferesti

et al. 2017

Sensors

447

267

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Advancements in medical science and technology, medicine and public health coupled with increased consciousness about nutrition and environmental and personal hygiene have paved the way for the dramatic increase in life expectancy globally in the past several decades. However, increased life expectancy has given rise to an increasing aging population, thus jeopardizing the socio-economic structure of many countries in terms of costs associated with elderly healthcare and wellbeing. In order to cope with the growing need for elderly healthcare services, it is essential to develop affordable, unobtrusive and easy-to-use healthcare solutions. Smart homes, which incorporate environmental and wearable medical sensors, actuators, and modern communication and information technologies, can enable continuous and remote monitoring of elderly health and wellbeing at a low cost. Smart homes may allow the elderly to stay in their comfortable home environments instead of expensive and limited healthcare facilities. Healthcare personnel can also keep track of the overall health condition of the elderly in real-time and provide feedback and support from distant facilities. In this paper, we have presented a comprehensive review on the state-of-the-art research and development in smart home based remote healthcare technologies.

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Remote health monitoring through an integration of wireless sensor networks, mobile phones & Cloud Computing technologies

Cited by 26 publications

References 12 publications

Cryptanalysis and Security Improvement of Two Authentication Schemes for Healthcare Systems Using Wireless Medical Sensor Networks

Cryptanalysis and Security Improvement of Two Authentication Schemes for Healthcare Systems Using Wireless Medical Sensor Networks

Sensors in Smart Homes for Independent Living of the Elderly

Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges

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