Security and Privacy in Body Sensor Networks

Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab

In this chapter, we present a comprehensive survey of the state of the art research in the field of body sensor networks security and privacy. We identify the main security challenges introduced by body sensor networks by thoroughly analyzing the specifics of this category of wireless sensor networks and present the prominent security and privacy architectures available to protect body sensor infrastructures. The presented protocols are categorized based on the security services they provide. Moreover, the chapter studies two main challenges that we believe are the most critical in the body sensor network security and privacy context: (1) achieving the correct balance between the complexity of the protocol security operations employed and the energy consumption they incur, and (2) attaining the right tradeoff between privacy and safety by utilizing the patient’s vital signals and other context-related information to minimize the amount of private data released. To provide a practical insight into the presented concepts, this chapter presents an overview of the main cryptographic APIs available in popular sensor networks operating systems such as TinyOS and recommends a collection of best practices and usage patterns for developing secure sensor health care applications and services. We conclude by presenting a blueprint body sensor network security framework employing a secure combination of the technical building blocks described in the chapter sections. Recommendations on the advantages and drawbacks of each building block are suggested whenever the latter is added to the security framework.

2008 ◽  
pp. 1012-1026
Author(s):  
Rajgopal Kannan ◽  
S. Sitharama Iyengar ◽  
A. Durressi

The techniques described in this chapter will develop an understanding of three critical areas in sensor network security, namely, data confidentiality, anonymity, and integrity along with associated security-performance tradeoffs. These results should contribute toward the design of a security framework for a common sensornet architecture and enable the flexible deployment and use of sensor networks for a large variety of applications, including homeland security.


Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab

In this paper, the authors provide a detailed overview and technical discussion and analysis of the latest research trends in securing body sensor networks. The core of this work aims at: (1) identifying the resource limitations and energy challenges of this category of wireless sensor networks, (2) considering the life-critical applications and emergency contexts that are encompassed by body sensor network services, and (3) studying the effect of these peculiarities on the design and implementation of rigorous and efficient security algorithms and protocols. The survey discusses the main advancements in the design of body sensor network cryptographic services (key generation and management, authentication, confidentiality, integrity, and privacy) and sheds the light on the prominent developments achieved in the field of securing body sensor network data in Cloud computing architectures. The elastic virtualization mechanisms employed in the Cloud, as well as the lucrative computing and storage resources available, makes the integration of body sensor network applications, and Cloud platforms a natural choice that is packed with various security and privacy challenges. The work presented in this paper focuses on Cloud privacy and integrity mechanisms that rely on tamper-proof hardware and energy-efficient cryptographic data structures that are proving to be well-suited for operation in untrusted Cloud environments. This paper also examines two crucial design patterns that lie at the crux of any successful body sensor network deployment which are represented in: (1) attaining the right balance between the degree, complexity, span, and strength of the cryptographic operations employed and the energy resources they consume. (2) Achieving a feasible tradeoff between the privacy of the human subject wearing the body sensor network and the safety of this subject. This is done by a careful analysis of the medical status of the subject and other context-related information to control the degree of disclosure of sensitive medical data. The paper concludes by presenting a practical overview of the cryptographic support in the main body sensor network development frameworks such and TinyOS and SPINE and introduces a set of generalized guideline patterns and recommendations for designing and implementing cryptographic protocols in body sensor network environments.


Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab

In this paper, the authors provide a detailed overview and technical discussion and analysis of the latest research trends in securing body sensor networks. The core of this work aims at: (1) identifying the resource limitations and energy challenges of this category of wireless sensor networks, (2) considering the life-critical applications and emergency contexts that are encompassed by body sensor network services, and (3) studying the effect of these peculiarities on the design and implementation of rigorous and efficient security algorithms and protocols. The survey discusses the main advancements in the design of body sensor network cryptographic services (key generation and management, authentication, confidentiality, integrity, and privacy) and sheds the light on the prominent developments achieved in the field of securing body sensor network data in Cloud computing architectures. The elastic virtualization mechanisms employed in the Cloud, as well as the lucrative computing and storage resources available, makes the integration of body sensor network applications, and Cloud platforms a natural choice that is packed with various security and privacy challenges. The work presented in this paper focuses on Cloud privacy and integrity mechanisms that rely on tamper-proof hardware and energy-efficient cryptographic data structures that are proving to be well-suited for operation in untrusted Cloud environments. This paper also examines two crucial design patterns that lie at the crux of any successful body sensor network deployment which are represented in: (1) attaining the right balance between the degree, complexity, span, and strength of the cryptographic operations employed and the energy resources they consume. (2) Achieving a feasible tradeoff between the privacy of the human subject wearing the body sensor network and the safety of this subject. This is done by a careful analysis of the medical status of the subject and other context-related information to control the degree of disclosure of sensitive medical data. The paper concludes by presenting a practical overview of the cryptographic support in the main body sensor network development frameworks such and TinyOS and SPINE and introduces a set of generalized guideline patterns and recommendations for designing and implementing cryptographic protocols in body sensor network environments.


2006 ◽  
pp. 242-264
Author(s):  
Rajgopal Kannan ◽  
S. Sitharama Iyengar ◽  
A. Durressi

The techniques described in this chapter will develop an understanding of three critical areas in sensor network security, namely, data confidentiality, anonymity, and integrity along with associated security-performance tradeoffs. These results should contribute toward the design of a security framework for a common sensornet architecture and enable the flexible deployment and use of sensor networks for a large variety of applications, including homeland security.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ahmad S. Almogren

With recent advances in wireless sensor networks and embedded computing technologies, body sensor networks (BSNs) have become practically feasible. BSNs consist of a number of sensor nodes located and deployed over the human body. These sensors continuously gather vital sign data of the body area to be used in various intelligent systems in smart environments. This paper presents an intelligent design of the body sensor network based on virtual hypercube structure backbone termed as Smart BodyNet. The main purpose of the Smart BodyNet is to provide resilience for the BSN operation and reduce power consumption. Various experiments were carried out to show the performance of the Smart BodyNet design as compared to the state-of-the-art approaches.


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