scholarly journals A Secured Data Retrieval Architecture for WBAN using Elliptic Curve Digital Signature

2019 ◽  
Vol 8 (10) ◽  
pp. 4275-4279
Keyword(s):  
Big Data ◽  
Elliptic Curve ◽  
Digital Signature ◽  
Data Center ◽  
Distributed Storage ◽  
Wireless Body Area Network ◽  
Data Retrieval ◽  
Sensor Nodes ◽  
Area Network ◽  
Certification Authority

The big data is proposed a secure scheme of data collection that to deal the problems in WBAN (Wireless Body Area Network). To start with to register the sensor nodes using CA (Certification Authority) connect the Network of Big data center. After the preprocessing stage, the sensors are correlated with big data center through authentication on both sides by ECDSA (Elliptic Curve Digital Signature Algorithm). The sensor node designed using distributed storage and the collected data transfer with improved security protection.

scholarly journals Implementation of Digital Signature Algorithm using Big Data Sensing Environment

2019 ◽  
Vol 9 (2) ◽  
pp. 4128-4131
Keyword(s):  
Big Data ◽  
Digital Signature ◽  
Distributed Storage ◽  
Data Retrieval ◽  
Map Reduce ◽  
Data Sets ◽  
Storage Process ◽  
Multiple Data ◽  
Digital Signature Algorithm ◽  
Multiple Data Sets

WBAN is a self-governing and perceptive used to informant the activities of a person and to improve the individuality of people, which satisfies the requirements of the user's needs. In this paper, we propose a Big data retrieval unit in WBAN using Elliptical Curve Cryptography. Big data transmit the data through Map reduce and retrieve the data safely using ECCDS algorithm. Map-reduce is a programming method for accessing multiple data sets on multi-node hardware efficiently using a distributed storage process and it incorporate the entire in-between requirements connected via the identical in-among key in . Cloud Sim extensible toolkit is used to enable the modeling and to enhance the application provision.

Optimal Elliptic Curve Cryptography-Based Effective Approach for Secure Data Storage in Clouds

2020 ◽  
Vol 11 (4) ◽  
pp. 65-81
Author(s):  
Anju Malik ◽  
Mayank Aggarwal ◽  
Bharti Sharma ◽  
Akansha Singh ◽  
Krishna Kant Singh
Keyword(s):  
Elliptic Curve ◽  
Data Storage ◽  
Elliptic Curve Cryptography ◽  
Search Algorithm ◽  
Distributed Storage ◽  
Data Retrieval ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Sensitive Data ◽  
Cloud Server

With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Wireless Body Sensor Networks for Patient Health Monitoring

2020 ◽  
pp. 132-154
Author(s):  
Bhanu Chander
Keyword(s):  
Energy Savings ◽  
Health Management ◽  
Wireless Body Area Network ◽  
Research Field ◽  
Sensor Nodes ◽  
Medical Examiner ◽  
Body Sensor Networks ◽  
Area Network ◽  
Patient Health ◽  
Wireless Body Sensor Networks

Remote medical health management is the most attractive research field in the domain of WSN. Wireless body area network (WBAN) produces constant, unbroken observation of the patient. Basically, WBAN acts as the appliance of internet of things (IoT) which offers an opportunity to a medical examiner to supervise chronic disease. Dissimilar protocols, guidelines, policies have been developed and developing in the last decade. In WBAN, minute power sensor nodes deployed toward capturing unusual essential signs of patients at home, hospitals in support of analysis purpose and furthermore advise suitable procedures. The main goal of this chapter is to introduce a complete and advanced understanding of WBANs, energy savings methods, human activity monitoring procedures, challenges and research issues, applications, and a comprehensive literature survey.

Energy Efficient Wireless Body Area Network (WBAN)

2017 ◽  
pp. 413-432
Author(s):  
Prasenjit Maiti ◽  
Sourav Kanti Addya ◽  
Bibhudatta Sahoo ◽  
Ashok Kumar Turuk
Keyword(s):  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Vital Signs ◽  
Sensor Nodes ◽  
Area Network ◽  
Body Area ◽  
Privacy Concerns ◽  
Research Areas ◽  
Information Privacy Concerns ◽  
The Cost

Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.

scholarly journals Equalized Energy Consumption in Wireless Body Area Networks for a Prolonged Network Lifetime

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Maryam El Azhari ◽  
Nadya El Moussaid ◽  
Ahmed Toumanari ◽  
Rachid Latif
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Wireless Body Area Network ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Physiological Data ◽  
Area Network ◽  
Body Area ◽  
Distributed Sensors

The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wireless Sensor Networks (WSNs). It consists in dispatching one or more mobile agents simultaneously to collect data, while following a predetermined optimum itinerary. The continuous use of the optimal itinerary leads to a rapid depletion of sensor nodes batteries, which minimizes the network lifetime. This paper presents a new algorithm to equalize the energy consumption among sensor motes. The algorithm exploits all the available paths towards the destination and classifies them with respect to the end-to-end delay and the overall energy consumption. The proposed algorithm performs better compared to the optimal routing path. It increases the network lifetime to the maximum by postponing routing of data via the most-recently used path, and it also maintains data delivery within the delay interval threshold.

scholarly journals Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3406 ◽  
Author(s):  
Łukasz Januszkiewicz ◽  
Paolo Di Barba ◽  
Sławomir Hausman
Keyword(s):  
Wireless Body Area Network ◽  
Design Procedure ◽  
Wireless Channel ◽  
The Body ◽  
The Other ◽  
Sensor Nodes ◽  
Field Analysis ◽  
Evolutionary Strategy ◽  
Area Network ◽  
Body Area

The purpose of this research was to improve the performance of a wireless body area sensor network, operating on a person in the seated and standing positions. Optimization-focused on both the on-body transmission channel and off-body link performance. The system consists of three nodes. One node (on the user’s head) is fixed, while the positions of the other two (one on the user’s trunk and the other on one leg) with respect to the body (local coordinates) are design variables. The objective function used in the design process is characterized by two components: the first controls the wireless channel for on-body data transmission between the three sensor nodes, while the second controls the off-body transmission between the nodes and a remote transceiver. The optimal design procedure exploits a low-cost Estra, which is an evolutionary strategy optimization algorithm linked with Remcom XFdtd, a full-wave Finite-Difference Time-Domain (FDTD) electromagnetic field analysis package. The Pareto-like approach applied in this study searches for a non-dominated solution that gives the best compromise between on-body and off-body performance.

scholarly journals Channel Characteristic Aware Privacy Protection Mechanism in WBAN

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2403 ◽  
Author(s):  
Puning Zhang ◽  
Jie Ma
Keyword(s):  
Information And Communication Technologies ◽  
Key Management ◽  
Privacy Protection ◽  
Exchange Process ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Area Network ◽  
User Privacy ◽  
Protection Mechanism ◽  
Channel Characteristic

Advances of information and communication technologies in medical areas have led to the emergence of wireless body area network (WBAN). The high accessibility of media in WBAN can easily lead to the malicious tapping or tampering attacks, which may steal privacy data or inject wrong data. However, existing privacy protection mechanisms in WBAN depend on the third-party key management system and have a complex key exchange process. To enhance user privacy at a low cost and with high flexibility, a channel characteristic aware privacy protection mechanism is proposed for WBAN. In the proposed mechanism, the similarity of RSS is measured to authenticate nodes. The key extraction technique can reduce the cost of the key distribution process. Due to the half duplex communication mode of sensors, the biased random sequences are extracted from the RSS of sensor nodes and coordinator. To reduce the inconsistency, we propose the n-dimension quantification and fuzzy extraction, which can quickly encrypt the transmission information and effectively identify malicious nodes. Simulation results show that the proposed mechanism can effectively protect user privacy against tampering and eavesdropping attacks.

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