Network and Application Security in Mobile e-Health Applications

Martí, Ramon; Delgado, Jaime; Perramon, Xavier

doi:10.1007/978-3-540-25978-7_100

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…there have been works done in the underlying networks and application security services integrated into health networks by looking for mobile specific requirements [52,53]. Due to the demand, IEEE 11,073 workgroup formed a sub-workgroup for cybersecurity to support secure health data exchange between personal health devices (PHD) and their clients.…”

Section: Diseases Based Geographic Areas Relationships Modelling Techmentioning

confidence: 99%

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Kang¹,

Adibi²

2018

Technologies

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With the emergence of technologies such as electronic health and mobile health (eHealth/mHealth), cloud computing, big data, and the Internet of Things (IoT), health related data are increasing and many applications such as smartphone apps and wearable devices that provide wellness and fitness tracking are entering the market. Some apps provide health related data such as sleep monitoring, heart rate measuring, and calorie expenditure collected and processed by the devices and servers in the cloud. These requirements can be extended to provide a personalized life expectancy (PLE) for the purpose of wellbeing and encouraging lifestyle improvement. No existing works provide this PLE information that is developed and customized for the individual. This article is based on the concurrent models and methodologies to calculate and predict life expectancy (LE) and proposes an idea of using multi-phased approaches to the solution as the project requires an immense and broad range of work to accomplish. As a result, the current prediction of LE, which was found to be up to a maximum of five years could potentially be extended to a lifetime prediction by utilizing generic health data. In this article, the novel idea of the solution proposing a PLE on an individual basis, which can be extended to lifetime is presented in addition to the existing works.

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Section: Diseases Based Geographic Areas Relationships Modelling Techmentioning

confidence: 99%

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Kang¹,

Adibi²

2018

Technologies

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“…The commonly used security protection for mobile device that uses wireless LAN are user authentication and encrypted wireless network such as Wi Fi Protected Access (WPA) (Ahmad, 2003;Bowman, 2003;Johari, 2009). In addition SSL is also used on wireless devices to provide transport level security (Gupta and Gupta, 2001;Marti et al, 2004).…”

Section: Mobile Threatsmentioning

confidence: 99%

Secure Architecture for m-Health Communications Using Multi-agent Approach

Jalil¹,

Sulaiman

2014

RJASET

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In this study we propose a security architecture for mobile Health (mHealth) communications. mHealth is a term used for medical-related services or communication, delivered using mobile devices such as mobile phones, tablet computers and PDAs. Communication in the health-related field often involve sensitive information (e.g., an email about a patient's illness is sent between doctors), which is transmitted over the Internet. However, although the Internet greatly facilitates the communication, it is undeniable that the threats to the Internet are becoming more prevalent. A multi-agent security architecture is presented in this study to provide a secure environment for mHealth communication. Agents are skilled in order to handle the communication processes at both sender's and recipient's side. This includes the security processes, which make use of cryptography protocols to secure data at both sides.

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“…The commonly used security protection for mobile device that uses wireless LAN are user authentication and encrypted wireless network (Elkhodr et al, 2011;Jaizanuar, 2009;Yu et al, 2008;Ahmad, 2003). In addition SSL is also used on wireless devices to provide transport level security (Gupta and Gupta, 2001;Marti et al, 2004).…”

Section: Security Technologiesmentioning

confidence: 99%

A New Security Model using Multilayer Approach for E-Health Services

Sulaiman

Sharma

et al. 2011

Journal of Computer Science

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Problem statement: Delivering services online is important in e-health. Services that are delivered through online communications between engaging parties, often involve sensitive information transmitted over the Internet. However, while the Internet successfully facilitates these services, significant threats also come in parallel. Network attacks, information breaches and malicious software on a computer system are common threats to the Internet. These threats can cause severe damage to computer systems and also the information. As we study current security technologies particularly that provide security to online communications, we found out that these technologies do not cater for different kinds of security needs because of the rigid way the security mechanisms are constructed. Therefore, we are interested in developing a security model that facilitates these needs, specifically in e-health. Approach: First, the area where different security requirements are needed are explored, such as the information classification found in ISO17799. This classification is based on the sensitivity levels of the information, where the more sensitive information requires higher security measures compared to the less sensitive information. Then, the information classification is applied to the e-health environment, so that our security model can handle the security processes for each classification. Results: The multilayer communication approach or MLC is the proposed security model. MLC classifies communications in e-health into five categories: Layer 1 to Layer 5 representing extremely sensitive, highly sensitive, medium sensitive, low sensitive and no sensitive data. This classification refers to the different sensitivity of the information exchanged during communications. For example, Extremely Sensitive communication involves exchanging extremely sensitive information, which requires highest security mechanisms, while Low Sensitive communication requires lower security mechanism. Conclusion: MLC provides five different types of security needs, where users can flexibly choose their own security preferences for their online communications, which the current technologies are lacking.

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Network and Application Security in Mobile e-Health Applications

Cited by 10 publications

References 4 publications

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Secure Architecture for m-Health Communications Using Multi-agent Approach

A New Security Model using Multilayer Approach for E-Health Services

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