scholarly journals Differential Privacy Preserving in Big data Analytics for Body Area Networks

2021 ◽  
Vol 9 (12) ◽  
pp. 514-518
Author(s):  
Adam Gowri Shankar
Keyword(s):  
Big Data ◽  
Privacy Protection ◽  
Differential Privacy ◽  
Wearable Sensors ◽  
Big Data Analytics ◽  
Body Area Networks ◽  
Area Network ◽  
Sensitive Information ◽  
Body Area ◽  
Protection Scheme

Abstract: Body Area Networks (BANs), collects enormous data by wearable sensors which contain sensitive information such as physical condition, location information, and so on, which needs protection. Preservation of privacy in big data has emerged as an absolute prerequisite for exchanging private data in terms of data analysis, validation, and publishing. Previous methods and traditional methods like k-anonymity and other anonymization techniques have overlooked privacy protection issues resulting to privacy infringement. In this work, a differential privacy protection scheme for ‘big data in body area network’ is developed. Compared with previous methods, the proposed privacy protection scheme is best in terms of availability and reliability. Exploratory results demonstrate that, even when the attacker has full background knowledge, the proposed scheme can still provide enough interference to big sensitive data so as to preserve the privacy. Keywords: BAN’s, Privacy, Differential Privacy, Noisy response

A differential privacy protection scheme for sensitive big data in body sensor networks

2016 ◽  
Vol 71 (9-10) ◽  
pp. 465-475 ◽  
Author(s):  
Chi Lin ◽  
Pengyu Wang ◽  
Houbing Song ◽  
Yanhong Zhou ◽  
Qing Liu ◽  
...  
Keyword(s):  
Big Data ◽  
Sensor Networks ◽  
Privacy Protection ◽  
Differential Privacy ◽  
Body Sensor Networks ◽  
Protection Scheme

scholarly journals Learning With Differential Privacy

2021 ◽  
pp. 372-395
Author(s):  
Poushali Sengupta ◽  
Sudipta Paul ◽  
Subhankar Mishra
Keyword(s):  
Privacy Protection ◽  
Differential Privacy ◽  
Intrusion Detection Systems ◽  
Sensitive Information ◽  
Detection Systems ◽  
Trade Offs ◽  
Personal Level ◽  
Encryption Decryption ◽  
Individual Trees ◽  
Prevention Methods

The leakage of data might have an extreme effect on the personal level if it contains sensitive information. Common prevention methods like encryption-decryption, endpoint protection, intrusion detection systems are prone to leakage. Differential privacy comes to the rescue with a proper promise of protection against leakage, as it uses a randomized response technique at the time of collection of the data which promises strong privacy with better utility. Differential privacy allows one to access the forest of data by describing their pattern of groups without disclosing any individual trees. The current adaption of differential privacy by leading tech companies and academia encourages authors to explore the topic in detail. The different aspects of differential privacy, its application in privacy protection and leakage of information, a comparative discussion on the current research approaches in this field, its utility in the real world as well as the trade-offs will be discussed.

Internet of Things Based Stable Increased-throughput Multi-hop Protocol for Link Efficiency (IoT-SIMPLE) for health monitoring in Wireless Body Area Networks

2021 ◽  
Vol 11 ◽  
Author(s):  
Arun Kumar Rana ◽  
Sharad Sharma
Keyword(s):  
Internet Of Things ◽  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Link Efficiency ◽  
Parent Node

Aims: Health monitoring in Wireless Body Area Networks. Background: A medical wireless body area network activated by IoT is mainly concerned with transmitting the quality details to the doctor within a fair period. The explosion of wearable gadgets and recent developments in miniature sensors illustrate the technological viability of any universal tracking program. IoT incorporates a range of tools fitted with sensing, recognition, communication, etc. Objective: To improve the medical facility. Method: The Wireless Body Area Network (WBAN) Internet of Things (IoT) for healthcare applications is an operational scenario for IoT systems that has attracted interest from large fields of study in the last few years. Internet of Things Based Stable Increased-throughput Multi-hop Protocol for Link Efficiency (IoT-SIMPLE), the IoT ties both topics to the healthcare network effortlessly. IoT enables the sensing, retrieval, and connectivity of all facilities or functional criteria and biomedicine. It puts the surgeons, the patients together And nurses can roam without any restrictions through smart devices, and each entity. Now work is underway to improve the healthcare sector by rising prices and increasing patient care quality. The route determines the route between the nodes and the sink. In this paper, we propose a protocol in WBAN that transmits body sensing data from various sensors, installed on the human body, to sink nodes using a multihop routing technique. Our key goal is to increase WBAN’s total network existence by raising cumulative energy usage. The residual energy parameter governs the usage of energy by the sensor nodes while the distance parameter ensures that the packet is effectively transmitted into the sink Result: Simulation results demonstrate that our proposed protocol very energy efficient and maximizes network stability for longer periods. Conclusion: Throughout this paper, we suggest a method for route data to WBANs. The suggested system uses the expense feature to choose the correct path to fall. The costs of the nodes and their spread from the drain are dependent on residual electricity. Nodes with a lower cost function value are selected as the parent node. Other nodes are parent node children and send their data to parent node. Our simulation tests demonstrate that the suggested routing scheme increases the network reliability period and the packet sent to the sink and in future more numbers of sensors can be used to extend this work to measure throughput, network lifetime, and end-to-end delay.

Body Area Networks

2011 ◽  
pp. 61-91 ◽  
Author(s):  
Leonardo Betancur Agudelo ◽  
Andres Navarro Cadavid
Keyword(s):  
Wide Band ◽  
Body Area Networks ◽  
Ultra Wide Band ◽  
Future Research ◽  
Area Network ◽  
Body Area ◽  
Daily Lives ◽  
Technical Problems ◽  
Wireless Protocols ◽  
Network Channel

Nowadays, wireless Body Area Networks (wBAN) have gained more relevance, in particular in the areas of health care, emergencies, ranging, location, domotics and entertainment applications. Regulations and several wireless protocols and standards have appeared in recent years. Some of them, like Bluetooth, ZigBee, Ultra Wide Band (UWB), ECMA368, WiFi, GPRS and mobile applications offer different kinds of solutions for personal area communications. In this chapter, body area network channel modelling will be described; also, a brief description of the applications and state-of-the-art of regulation and standardization processes pertaining to these kinds of networks will be presented. For each topic, the chapter shows not only the main technical characteristics, but also the technical problems and challenges in recent and future research. Finally, the chapter provides an analysis of Body Area Networks, opinions about the future and possible scenarios in the short- and medium-term for the development of standards and applications and their impacts on our daily lives.

scholarly journals Lightweight Fine-Grained Access Control for Wireless Body Area Networks

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1088 ◽  
Author(s):  
Mohammad Ali ◽  
Mohammad-Reza Sadeghi ◽  
Ximeng Liu
Keyword(s):  
Access Control ◽  
Wireless Body Area Network ◽  
Control Policy ◽  
Cloud Service ◽  
Communication Overhead ◽  
Area Network ◽  
Sensitive Information ◽  
Health Providers ◽  
Body Area ◽  
Fine Grained

Wireless Body Area Network (WBAN) is a highly promising technology enabling health providers to remotely monitor vital parameters of patients via tiny wearable and implantable sensors. In a WBAN, medical data is collected by several tiny sensors and usually transmitted to a server-side (e.g., a cloud service provider) for long-term storage and online/offline processing. However, as the health data includes several sensitive information, providing confidentiality and fine-grained access control is necessary to preserve the privacy of patients. In this paper, we design an attribute-based encryption (ABE) scheme with lightweight encryption and decryption mechanisms. Our scheme enables tiny sensors to encrypt the collected data under an access control policy by performing very few computational operations. Also, the computational overhead on the users in the decryption phase is lightweight, and most of the operations are performed by the cloud server. In comparison with some excellent ABE schemes, our encryption mechanism is more than 100 times faster, and the communication overhead in our scheme decreases significantly. We provide the security definition for the new primitive and prove its security in the standard model and under the hardness assumption of the decisional bilinear Diffie-Hellman (DBDH) problem.

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