Optimal resource allocation to provide QOS guarantee in pervasive health monitoring systems

2011 ◽  
Author(s):  
Yifeng He ◽  
Wenwu Zhu ◽  
Ling Guan
Keyword(s):  
Resource Allocation ◽  
Health Monitoring ◽  
Monitoring Systems ◽  
Optimal Resource Allocation ◽  
Qos Guarantee ◽  
Optimal Resource ◽  
Health Monitoring Systems ◽  
Pervasive Health

Cyber Physical Security Solutions for Pervasive Health Monitoring Systems

2013 ◽  
pp. 143-162 ◽  
Author(s):  
Krishna K. Venkatasubramanian ◽  
Sidharth Nabar ◽  
Sandeep K. S. Gupta ◽  
Radha Poovendran
Keyword(s):  
Health Monitoring ◽  
Key Agreement ◽  
Cyber Physical Systems ◽  
Monitoring Systems ◽  
Critical Systems ◽  
Physical Security ◽  
Physical Systems ◽  
Physiological Signal ◽  
Health Monitoring Systems ◽  
Pervasive Health

With a rapidly aging population, the healthcare community will soon face severe medical personnel shortage and rising costs. Pervasive Health Monitoring Systems (PHMS) can help alleviate this situation. PHMS provides continuous real-time monitoring of a person’s health using a (usually wireless) network of medical and ambient sensors/devices on the host (patients), called Body Area Networks (BANs). The sensitive nature of health information collected by PHMS mandates that patient’s privacy be protected by securing the medical data from any unauthorized access. The authors’ approach for addressing these issues focuses on a key observation that PHMS are cyber-physical systems (CPS). Cyber-physical systems are networked, computational platforms, deeply embedded in specific physical processes for monitoring and actuation purposes. In this work, they therefore present a novel perspective on securing PHMS, called Cyber Physical Security (CYPSec) solutions. CYPSec solutions are environmentally-coupled security solutions, which operate by combining traditional security primitives along with environmental features. Its use results in not only secure operation of a system but also the emergence of additional “allied” properties which enhance its overall capabilities. The principal focus of this chapter is the development of a new security approach for PHMS called CYPsec that leverages their cyber-physical nature. The authors illustrate the design issues and principals of CYPSec through two specific examples of this generic approach: (a) Physiological Signal based key Agreement (PSKA) is designed to enable automated key agreement between sensors in the BAN based on physiological signals from the body; and (b) Criticality Aware Access Control (CAAC) which has the ability to provide controlled opening of the system for emergency management. Further, they also discuss aspects such as altered threat-model, increased complexity, non-determinism, and mixed critical systems, that must be addressed to make CYPSec a reality.

scholarly journals Fair Resource Allocation with QoS Guarantee in Secure Multiuser TDMA Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhiquan Bai ◽  
Tongtong Wang ◽  
Piming Ma ◽  
Yanbo Ma ◽  
Kyungsup Kwak
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Iteration Algorithm ◽  
Optimal Resource Allocation ◽  
Allocation Policy ◽  
Qos Guarantee ◽  
Channel Conditions ◽  
Optimal Resource ◽  
Global Optimal ◽  
Resource Allocation Policy

We investigate a secure multiuser time division multiple access (TDMA) system with statistical delay quality of service (QoS) guarantee in terms of secure effective capacity. An optimal resource allocation policy is proposed to minimize the β-fair cost function of the average user power under the individual QoS constraint, which also balances the energy efficiency and fairness among the users. First, convex optimization problems associated with the resource allocation policy are formulated. Then, a subgradient iteration algorithm based on the Lagrangian duality theory and the dual decomposition theory is employed to approach the global optimal solutions. Furthermore, considering the practical channel conditions, we develop a stochastic subgradient iteration algorithm which is capable of dynamically learning the intended wireless channels and acquiring the global optimal solution. It is shown that the proposed optimal resource allocation policy depends on the delay QoS requirement and the channel conditions. The optimal policy can save more power and achieve the balance of the energy efficiency and the fairness compared with the other resource allocation policies.

Challenges in Data Quality Assurance in Pervasive Health Monitoring Systems

2009 ◽  
pp. 129-142 ◽  
Author(s):  
Janani Sriram ◽  
Minho Shin ◽  
David Kotz ◽  
Anand Rajan ◽  
Manoj Sastry ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
Health Monitoring ◽  
Monitoring Systems ◽  
Health Monitoring Systems ◽  
Pervasive Health

Cyber Physical Security Solutions for Pervasive Health Monitoring Systems

2012 ◽  
pp. 447-465 ◽  
Author(s):  
Krishna K. Venkatasubramanian ◽  
Sidharth Nabar ◽  
Sandeep K. S. Gupta ◽  
Radha Poovendran
Keyword(s):  
Health Monitoring ◽  
Key Agreement ◽  
Cyber Physical Systems ◽  
Monitoring Systems ◽  
Critical Systems ◽  
Physical Security ◽  
Physical Systems ◽  
Physiological Signal ◽  
Health Monitoring Systems ◽  
Pervasive Health

With a rapidly aging population, the healthcare community will soon face severe medical personnel shortage and rising costs. Pervasive Health Monitoring Systems (PHMS) can help alleviate this situation. PHMS provides continuous real-time monitoring of a person’s health using a (usually wireless) network of medical and ambient sensors/devices on the host (patients), called Body Area Networks (BANs). The sensitive nature of health information collected by PHMS mandates that patient’s privacy be protected by securing the medical data from any unauthorized access. The authors’ approach for addressing these issues focuses on a key observation that PHMS are cyber-physical systems (CPS). Cyber-physical systems are networked, computational platforms, deeply embedded in specific physical processes for monitoring and actuation purposes. In this work, they therefore present a novel perspective on securing PHMS, called Cyber Physical Security (CYPSec) solutions. CYPSec solutions are environmentally-coupled security solutions, which operate by combining traditional security primitives along with environmental features. Its use results in not only secure operation of a system but also the emergence of additional “allied” properties which enhance its overall capabilities. The principal focus of this chapter is the development of a new security approach for PHMS called CYPsec that leverages their cyber-physical nature. The authors illustrate the design issues and principals of CYPSec through two specific examples of this generic approach: (a) Physiological Signal based key Agreement (PSKA) is designed to enable automated key agreement between sensors in the BAN based on physiological signals from the body; and (b) Criticality Aware Access Control (CAAC) which has the ability to provide controlled opening of the system for emergency management. Further, they also discuss aspects such as altered threat-model, increased complexity, non-determinism, and mixed critical systems, that must be addressed to make CYPSec a reality.

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