Efficient Security Mechanisms for mHealth Applications Using Wireless Body Sensor Networks

Sahoo, Prasan Kumar

doi:10.3390/s120912606

Cited by 53 publications

(29 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…& Security and privacy aspects in BSNs. In the study of Sahoo (2012), a three tier security architecture for mHealth applications is proposed, using light weight data confidentiality and authentication protocols to preserve the patients' privacy [52]. & General security or privacy aspects.…”

Section: Security and Privacy Literature Reviewmentioning

confidence: 99%

Privacy and Security in Mobile Health Apps: A Review and Recommendations

2014

View full text Add to dashboard Cite

In a world where the industry of mobile applications is continuously expanding and new health care apps and devices are created every day, it is important to take special care of the collection and treatment of users' personal health information. However, the appropriate methods to do this are not usually taken into account by apps designers and insecure applications are released. This paper presents a study of security and privacy in mHealth, focusing on three parts: a study of the existing laws regulating these aspects in the European Union and the United States, a review of the academic literature related to this topic, and a proposal of some recommendations for designers in order to create mobile health applications that satisfy the current security and privacy legislation. This paper will complement other standards and certifications about security and privacy and will suppose a quick guide for apps designers, developers and researchers.

show abstract

Section: Security and Privacy Literature Reviewmentioning

confidence: 99%

Privacy and Security in Mobile Health Apps: A Review and Recommendations

2014

View full text Add to dashboard Cite

show abstract

“…where is the energy consumption of the host, CPU is the sum of energy consumption of all CPU operations and operations with a separately specified electric current, and COMM International Journal of Distributed Sensor Networks 11 (1) procedure BindMessagesWithRequests( ℎ ) ⊳ Procedure binds messages from the buffers with matching requests.…”

Section: Energy Analysismentioning

confidence: 99%

Security Trade-Off and Energy Efficiency Analysis in Wireless Sensor Networks

Rusinek

Księżopolski

Wierzbicki

2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

With a rapid progress of numerous applications in wireless sensor networks (WSNs), performance evaluation and analysis techniques face new challenges in energy efficiency area in WSN applications. One of the key issues is to perform the security trade-off and energy efficiency analysis. In this paper, the energy analysis module for the QoP-ML (quality of protection modeling language) is proposed by means of which one can analyze the influence of various security levels on the energy consumption of a protocol. Moreover, an advanced communication module is proposed as an extension of the QoP-ML language, which enhances the abilities to analyze complex wireless sensor networks. The case study of WSN deployed on the Jindo Bridge in South Korea was carried out and the lifetime of protocols with various security levels was simulated. The results show that the introduction of various security levels can entail large differences in performance and energy consumption, and hence result in different lifetime. Therefore, the designers of WSN protocols should search for balance between the required lifetime and security level. The introduced QoP-ML extension, along with the AQoPA (automated quality of protection analysis) tool, has been developed to meet the above requirements.

show abstract

“…Typically in mHealth systems researchers focus on securing every communication link separately [14,17]. Solutions require maintaining dedicated public and private keys for sensor-to-sensor, sensorto-smartphone, and smartphone-to-cloud [14].…”

Section: Related Workmentioning

confidence: 99%

“…Solutions require maintaining dedicated public and private keys for sensor-to-sensor, sensorto-smartphone, and smartphone-to-cloud [14]. This introduces significant overhead in the deployment of the mHealth system and also blocks storage in already resource constrained sensors.…”

Section: Related Workmentioning

confidence: 99%

Pees

Banerjee

Gupta

Venkatasubramanian

2013

Proceedings of the 4th Conference on Wireless Health

View full text Add to dashboard Cite

Ensuring security of private health data over the communication channel from the sensors to the back-end medical cloud is crucial in a mHealth system. This end-to-end (E2E) security is enabled by distributing cryptographic keys between a sensor and the cloud so that the data can be encrypted and its integrity protected. Further, the key can also be used for mutually authenticating the communication. The distribution of keys is one of the biggest overheads in enabling secure communication and needs to be done is a transparent way that minimizes the cognitive load on the users (patients). Traditional approaches for providing E2E security for mHealth systems are based on asymmetric cryptosystems that require extensive security infrastructure. In this paper, we propose a novel protocol, Physiology-based End-to-End Security (PEES), which provides a secure communication channel between the sensors and the back-end medical cloud in a transparent way. PEES uses: (1) physiological signal features to hide a secret key, and (2) synthetically generated physiological signals from generative models parameterized with patient's physiological information, to unhide the key. Moreover, in PEES authentication comes for free since only sensors on the user's body has access to physiological features and can therefore gain access to the protected information in the cloud. The analysis of the approach using electrocardiogram (ECG) and phototplethysmogram (PPG) signals and their associated models demonstrate the feasibility of PEES. The protocol is light-weight for sensors and has no pre-deployment or storage requirements and can provide strong and random keys (⇡ 90 bits long). We have also started clinical studies to establish its e cacy in practice.

show abstract

Efficient Security Mechanisms for mHealth Applications Using Wireless Body Sensor Networks

Cited by 53 publications

References 34 publications

Privacy and Security in Mobile Health Apps: A Review and Recommendations

Privacy and Security in Mobile Health Apps: A Review and Recommendations

Security Trade-Off and Energy Efficiency Analysis in Wireless Sensor Networks

Pees

Contact Info

Product

Resources

About