scholarly journals Developing a Powerful and Resilient Smart Body Sensor Network through Hypercube Interconnection

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ahmad S. Almogren
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Intelligent Systems ◽  
Intelligent Design ◽  
State Of The Art ◽  
The Body ◽  
Sensor Nodes ◽  
Body Sensor Networks ◽  
Embedded Computing ◽  
Body Sensor Network

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.

Wireless Body Sensor Networks

2016 ◽  
Vol 5 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Design Patterns ◽  
Careful Analysis ◽  
The Body ◽  
Security And Privacy ◽  
Body Sensor Networks ◽  
Main Body ◽  
Body Sensor Network ◽  
Technical Discussion

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.

scholarly journals Interference Aware Priority Based Packet Forwarding in Wireless Sensor Network using Bluetooth

2019 ◽  
Vol 8 (3S2) ◽  
pp. 177-180
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
The Body ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Body Sensor Networks ◽  
Body Parts ◽  
Packet Forwarding

Wireless Sensor Networks consists of several nodes that are distributed over a particular area. These sensor nodes are able to sense the changes in environmental parameters like temperature and carbon monoxide. Depending upon the ability each sensor node possess the type of wireless sensor networks may vary: that is either Homogeneous or Heterogeneous. This particular paper is concentrated on a homogeneous network. In this paper, an Interference Aware Priority based Packet Forwarding in Wireless Sensor Network using Bluetooth (IAPFB) scheme is proposed which helps in the congestion control in Wireless Sensor Network. The main idea behind this paper is that ; avoid the interference and collision between the nodes in the network while transmitting the data packets and also the higher priority data must forwarded first than a low priority one. The main application of this concept is the Body Sensor Networks. That is the body sensors for grabbing the signals from various body parts is used as the operating network. Signals from different body parts may have different priority levels and the proposed scheme can easily deal with the priorities. Simulated results shows comparatively good results for the proposed method.

Wireless Body Sensor Networks

2019 ◽  
pp. 731-763
Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Design Patterns ◽  
Careful Analysis ◽  
Body Sensor Networks ◽  
Main Body ◽  
Body Sensor Network ◽  
Related Information ◽  
Technical Discussion ◽  
The Right

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.

scholarly journals Smart Body Monitoring system using IoT and Machine Learning

2021 ◽  
Author(s):  
Mubeen Aslam Momin ◽  
Nutan Suresh Bhagwat ◽  
Akshay Vishwas Dhiwar ◽  
Sneha Bharat Chavhate ◽  
N S Devekar
Keyword(s):  
Sensor Network ◽  
Healthcare System ◽  
The Body ◽  
Sensor Nodes ◽  
Security Requirements ◽  
Wireless Sensor ◽  
Patient Privacy ◽  
Healthcare Applications ◽  
Wireless Sensor Nodes ◽  
Body Sensor Network

In the modern health care environment, the usage of IoT technologies brings convenience of physicians and patients, since they are applied to various medical areas. The body sensor network (BSN) technology is one of the core technologies of IoT developments in healthcare system, where a patient can be monitored using a collection of tiny-powered and lightweight wireless sensor nodes. However, the development of this new technology in healthcare applications without considering security makes patient privacy vulnerable. In this paper, at first, we highlight the major security requirements in BSN-based modern healthcare system. Subsequently, we propose a secure IoT-based healthcare system using BSN, called BSN-Care, which can efficiently accomplish those requirements. The body sensor network (BSN) technology is one of the most imperative technologies used in IoT-based modern healthcare system. It is basically a collection of low-power and lightweight wireless sensor nodes that are used to monitor the human body functions and surrounding environment. Since BSN nodes are used to collect sensitive (life-critical) information and may operate in hostile environments, accordingly, they require strict security mechanisms to prevent malicious interaction with the system.

Security and Privacy in Body Sensor Networks

2013 ◽  
pp. 100-127
Author(s):  
Wassim Itani ◽  
Ayman Kayssi ◽  
Ali Chehab
Keyword(s):  
Sensor Networks ◽  
Network Security ◽  
Sensor Network ◽  
Security And Privacy ◽  
Body Sensor Networks ◽  
Security Framework ◽  
Body Sensor Network ◽  
Related Information ◽  
Sensor Network Security ◽  
Security Operations

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.

IOT Based Health Care Services

2019 ◽  
Vol 1 (6) ◽  
pp. 18-25
Author(s):  
Devadharshini S ◽  
Anitha R.J
Keyword(s):  
Health Care ◽  
Sensor Network ◽  
Human Body ◽  
Health Care Services ◽  
New Technology ◽  
The Body ◽  
Sensor Nodes ◽  
Body Sensor Network ◽  
Security Issues ◽  
Core Technology

Health care is a kind of livelihood maintenance and improving one’s health through prevention, diagnosis and treating illness, disease and injury and physical and medical discomforts in patients. The proposed system uses the Body Sensor Network (BSN) which is a network that connects the medical sensors all over the body, even the implants placed inside or outside the human body and can operate autonomously. The BSN technology is a core technology of IoT performing in the field of health care, where patients are of monitoring using a cluster of tiny powered and lightweight wearable wireless sensor nodes for sensing and for analysis of various vital frameworks of the human body. The BSN gathers, stores the information and also shares with each other, making it achievable to gather record and analyze data. Therefore it overcomes the trouble crossing under the name of manual checkups. Patients will have high quality services. The emerging new technology in the field of health care also concerned with the security of the patient’s privacy information invulnerably. Thus the proposed system mainly concerned with both the vital health care of the patients and the security issues of the patients via a sensor named Body Sensor Network (BSN).

scholarly journals Fault-Tolerant Anomaly Detection Method in Wireless Sensor Networks

Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 236 ◽  
Author(s):  
Nengsong Peng ◽  
Weiwei Zhang ◽  
Hongfei Ling ◽  
Yuzhao Zhang ◽  
Lixin Zheng
Keyword(s):  
Sensor Networks ◽  
Anomaly Detection ◽  
Sensor Network ◽  
Detection Method ◽  
Fault Tolerant ◽  
False Negative ◽  
False Negative Rate ◽  
Temporal Correlation ◽  
Sensor Nodes ◽  
Wireless Sensor

A key issue in wireless sensor network applications is how to accurately detect anomalies in an unstable environment and determine whether an event has occurred. This instability includes the harsh environment, node energy insufficiency, hardware and software breakdown, etc. In this paper, a fault-tolerant anomaly detection method (FTAD) is proposed based on the spatial-temporal correlation of sensor networks. This method divides the sensor network into a fault neighborhood, event and fault mixed neighborhood, event boundary neighborhood and other regions for anomaly detection, respectively, to achieve fault tolerance. The results of experiment show that under the condition that 45% of sensor nodes are failing, the hit rate of event detection remains at about 97% and the false negative rate of events is above 92%.

scholarly journals DOS Attacks on TCP/IP Layers in WSN

2013 ◽  
Vol 1 (2013) ◽  
pp. 40-45
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Low Cost ◽  
Denial Of Service ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Renewable Energy Resources ◽  
Dos Attack ◽  
Dos Attacks

The emergence of sensor networks as one of the dominant technology trends in the coming decades has posed numerous unique challenges on their security to researchers. These networks are likely to be composed of thousands of tiny sensor nodes, which are low-cost devices equipped with limited memory, processing, radio, and in many cases, without access to renewable energy resources. While the set of challenges in sensor networks are diverse, we focus on security of Wireless Sensor Network in this paper. First, we propose some of the security goal for Wireless Sensor Network. To perform any task in WSN, the goal is to ensure the best possible utilization of sensor resources so that the network could be kept functional as long as possible. In contrast to this crucial objective of sensor network management, a Denial of Service (DoS) attack targets to degrade the efficient use of network resources and disrupts the essential services in the network. DoS attack could be considered as one of th

Trustworthy Architecture for Wireless Body Sensor Network

2015 ◽  
pp. 46-80
Author(s):  
G. R. Kanagachidambaresan
Keyword(s):  
Markov Model ◽  
Sensor Network ◽  
Elderly People ◽  
State Transition ◽  
State Machine ◽  
Sensor Nodes ◽  
Monitoring Scheme ◽  
Body Sensor Network ◽  
Finite State ◽  
Physiological Sensors

Wireless Body Sensor Network is a collection of physiological sensors connected to small embedded machines and transceivers to form a monitoring scheme for patients and elderly people. Intrusion and foolproof routing has become mandatory as the Wireless Body Sensor Network has extended its working range. Trust in Wireless Body Sensor Network is greatly determined by the Encryption key size and Energy of the Node. The Sensor Nodes in Wireless Body Sensor Network is powered by small battery banks which are to be removed and recharged often in some cases. Attack to the implanted node in Wireless Body Sensor Network could harm the patient. Finite State Machine helps in realizing the Trust architecture of the Wireless Body Sensor Network. Markov model helps in predicting the state transition from one state to other. This chapter proposes a Trustworthy architecture for creating a trusted and confidential communication for Wireless Body Sensor Network.

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