An Enhanced Mobile-Healthcare Emergency System Based on Extended Chaotic Maps

Lee, Cheng‐Chi; Hsu, Che-Wei; Lai, Yi‐Ting; Vasilakos, Athanasios V.

doi:10.1007/s10916-013-9973-0

Cited by 47 publications

(39 citation statements)

References 29 publications

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“…Moreover, they put forwarded another user authentication and key agreement scheme for TMIS to fix the above security weaknesses. Recently, Li et al [32] described that Lee et al's chaotic maps based user authentication scheme [30] has two security weaknesses -service misuse attack for non-registered users and lack of user identity in the authentication phase, and then put forwarded an enhanced scheme. In 2015, Wang et al [45] described that Lin's scheme [38] suffer from user anonymity, impersonation attack and also proposed a counter measure to resolve the mentioned security weaknesses.…”

Section: Literature Survey On Existing Authentication Scheme For Tmismentioning

confidence: 99%

An Efficient and Practical Smart Card Based Anonymity Preserving User Authentication Scheme for TMIS using Elliptic Curve Cryptography

et al. 2015

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In the last few years, numerous remote user authentication and session key agreement schemes have been put forwarded for Telecare Medical Information System, where the patient and medical server exchange medical information using Internet. We have found that most of the schemes are not usable for practical applications due to known security weaknesses. It is also worth to note that unrestricted number of patients login to the single medical server across the globe. Therefore, the computation and maintenance overhead would be high and the server may fail to provide services. In this article, we have designed a medical system architecture and a standard mutual authentication scheme for single medical server, where the patient can securely exchange medical data with the doctor(s) via trusted central medical server over any insecure network. We then explored the security of the scheme with its resilience to attacks. Moreover, we formally validated the proposed scheme through the simulation using Automated Validation of Internet Security Schemes and Applications software whose outcomes confirm that the scheme is protected against active and passive attacks. The performance comparison demonstrated that the proposed scheme has lower communication cost than the existing schemes in literature. In addition, the computation cost of the proposed scheme is nearly equal to the exiting schemes. The proposed scheme not only efficient in terms of different security attacks, but it also provides an efficient login, mutual authentication, session key agreement and verification and password update phases along with password recovery.

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Section: Literature Survey On Existing Authentication Scheme For Tmismentioning

confidence: 99%

An Efficient and Practical Smart Card Based Anonymity Preserving User Authentication Scheme for TMIS using Elliptic Curve Cryptography

et al. 2015

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“…Accessing data on real time (Zheng et al 2013) and labeling data through crowd sourcing (Feng et al 2014) are of great importance for realizing scalable activity recognition model across multiple users and premises while providing just-intime intervention and proactive healthcare decision to the target population. Meeting the quality of service for inferring the activity of the users and trading the delicate balance between cost and accuracy in presence of multiple healthcare activity recognition applications have also been investigated in Roy et al (2009, 2011, 2012), Lin et al (2015a) and Lee et al (2013).…”

Section: Related Workmentioning

confidence: 99%

Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments

Roy

Misra

Cook

2015

J Ambient Intell Human Comput

101

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Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart home activity recognition approaches is to exploit the users' spatiotemporal behavior and location, focus on the availability of multitude of devices capable of providing different dimensions of information and fulfill the underpinning needs for scaling the system beyond a single user or a home environment. In this paper, we propose a hybrid approach for recognizing complex activities of daily living (ADL), that lie in between the two extremes of intensive use of body-worn sensors and the use of ambient sensors. Our approach harnesses the power of simple ambient sensors (e.g., motion sensors) to provide additional ‘hidden’ context (e.g., room-level location) of an individual, and then combines this context with smartphone-based sensing of micro-level postural/locomotive states. The major novelty is our focus on multi-inhabitant environments, where we show how the use of spatiotemporal constraints along with multitude of data sources can be used to significantly improve the accuracy and computational overhead of traditional activity recognition based approaches such as coupled-hidden Markov models. Experimental results on two separate smart home datasets demonstrate that this approach improves the accuracy of complex ADL classification by over 30 %, compared to pure smartphone-based solutions.

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“…However, LPR does not provide the data-level privacy protection. The work [19] found out that Lu et al 's protocol in [7] still has some secure flaws such as user anonymity and mutual authentication, and it presents an improved mobile-healthcare emergency system based on extended chaotic maps for applications of wireless body sensor networks (BSNs).…”

Section: Related Workmentioning

confidence: 99%

Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks

Huang

Gong

Chen

et al. 2015

International Journal of Distributed Sensor Networks

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Scenarios in which two nodes who distrust each other in wireless sensor networks (WSNs) would like to know the distance between them are considered. The scenario is designed to protect the private information of WSNs, in this case each node's location, from the other nodes and from a passive attacker. The goal of the present work is to provide two novel and secure two-party distance computation protocols based on a semihonest model, the first with aid of a third party and the second based on randomization technique. Both of these protocols can extend the calculated value into a real number field. The output of the distance computation and the intermediate values in the proposed protocols are also private and not accessible to a third party or any other attackers. When executing these two protocols, security is guaranteed, and the performances of communication and computation of them are found to be satisfactory when compared to those of other similar protocols.

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An Enhanced Mobile-Healthcare Emergency System Based on Extended Chaotic Maps

Cited by 47 publications

References 29 publications

An Efficient and Practical Smart Card Based Anonymity Preserving User Authentication Scheme for TMIS using Elliptic Curve Cryptography

An Efficient and Practical Smart Card Based Anonymity Preserving User Authentication Scheme for TMIS using Elliptic Curve Cryptography

Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments

Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks

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