A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

Zhang, Changlun; Li, Chao; Zhang, Jian

doi:10.1155/2015/104286

Cited by 14 publications

(12 citation statements)

References 19 publications

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“…As the networking domain of IoBNT is itself novel and has diverse system requirements. The security mechanisms and access control [220] methods for IoBNT must be lightweight and compatible with resource-constrained [221] IoBNT devices and nanonetwork.…”

Section: B Challenges In Security Of Iobntmentioning

confidence: 99%

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

et al. 2021

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Advances in synthetic biology and nanotechnology resulted in tools that can be used to control, reuse, modify, and re-engineer cells' structure, as well as enabling engineers to effectively use biological cells as programmable substrates to realize Bio-NanoThings (biological embedded computing devices). Bio-NanoThings are tiny, non-intrusive, and concealable devices that can be used for in-vivo applications such as intra-body sensing and actuation networks, where the use of artificial devices can be detrimental. Bio-NanoThings are nano-scale devices used in various healthcare settings such as continuous health monitoring, targeted drug delivery, and nanosurgeries. These services can also be grouped to form a collaborative network called nanonetwork, whose performance can potentially be improved when connected to higher bandwidth external networks such as the Internet. However, to realize the IoBNT paradigm, it is also important to seamlessly connect the biological environment with the technological landscape, for example by having a dynamic interface designing to convert biochemical signals from the human body into an equivalent electromagnetic signal (and vice versa). However, this also risks the exposure of internal biological mechanisms to cyber-based sensing and medical actuation, with potential security and privacy implications. In this paper, we comprehensively review bio-cyber interface for IoBNT architecture, focusing on bio-cyber interfacing options for IoBNT like biologically inspired bio-electronic devices, RFID enabled implantable chips, and electronic tattoos. We also identify known and potential security and privacy vulnerabilities and mitigation strategies for consideration in future IoBNT designs and implementations.INDEX TERMS Bio-cyber interface, Internet of Bio-Nano Things, Bio-electronic device security, Bio-inspired security approaches I. INTRODUCTIONWith recent pandemics and the associated lockdown regime, there has been renewed, if not accelerated, interest, in exploring electronic and remote delivery of healthcare services. One of the recent trends is in the Internet of Bio-Nano Things (IoBNT) systems, which

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Section: B Challenges In Security Of Iobntmentioning

confidence: 99%

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

et al. 2021

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“…Public key cryptography is computationally very expensive and that's why all of these techniques have very high computation cost. Among these techniques [16,18,21] use Public Key Cryptography (PKC) only for encryption of messages and thus has high computational cost while the remaining [17,19,20] use PKC for encrypting messages and also for digital signature and thus it possesses very high computation cost. The CC of each of these techniques can be viewed in Figs.…”

Section: Computational Costmentioning

confidence: 99%

“…Since sensor node life (SL) is inversely proportional to CC and CO while EC is directly proportional to CC and CO. [20] High Small Small High Yes High Zhang et al [21] High Small Small High Yes High Therefore Hayouni et al [5] have small SL and high energy consumption (EC). Finster and Baumgart [11] high SL and medium EC.…”

Section: Sensor Node Life and Energy Consumptionmentioning

confidence: 99%

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Privacy-preserving data aggregation in resource-constrained sensor nodes in Internet of Things: A review

Ali

Khan

Sabir

2018

Future Computing and Informatics Journal

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Privacy problems are lethal and getting more attention than any other issue with the notion of the Internet of Things (IoT). Since IoT has many application areas including smart home, smart grids, smart healthcare system, smart and intelligent transportation and many more. Most of these applications are fueled by the resource-constrained sensor network, such as Smart healthcare system is powered by Wireless Body Area Network (WBAN) and Smart home and weather monitoring systems are fueled by Wireless Sensor Networks (WSN). In the mentioned application areas sensor node life is a very important aspect of these technologies as it explicitly effects the network life and performance. Data aggregation techniques are used to increase sensor node life by decreasing communication overhead. However, when the data is aggregated at intermediate nodes to reduce communication overhead, data privacy problems becomes more vulnerable. Different Privacy-Preserving Data Aggregation (PPDA) techniques have been proposed to ensure data privacy during data aggregation in resource-constrained sensor nodes. We provide a review and comparative analysis of the state of the art PPDA techniques in this paper. The comparative analysis is based on Computation Cost, Communication overhead, Privacy Level, resistance against malicious aggregator, sensor node life and energy consumption by the sensor node. We have studied the most recent techniques and provide in-depth analysis of the minute steps involved in these techniques. To the best of our knowledge, this survey is the most recent and comprehensive study of PPDA techniques.

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“…Zhang et al proposed a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure of tree and cluster for the wearable wireless sensors in [15]. In [16], Cao et al proposed a privacy-preserving and auditingsupporting outsourcing data storage scheme by using encryption and digital watermarking.…”

Section: Related Workmentioning

confidence: 99%

Multiorder Fusion Data Privacy-Preserving Scheme for Wireless Sensor Networks

Xie

Bai

Huang

et al. 2017

Journal of Electrical and Computer Engineering

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Privacy-preserving in wireless sensor networks is one of the key problems to be solved in practical applications. It is of great significance to solve the problem of data privacy protection for large-scale applications of wireless sensor networks. The characteristics of wireless sensor networks make data privacy protection technology face serious challenges. At present, the technology of data privacy protection in wireless sensor networks has become a hot research topic, mainly for data aggregation, data query, and access control of data privacy protection. In this paper, multiorder fusion data privacy-preserving scheme (MOFDAP) is proposed. Random interference code, random decomposition of function library, and cryptographic vector are introduced for our proposed scheme. In multiple stages and multiple aspects, the difficulty of cracking and crack costs are increased. The simulation results demonstrate that, compared with the typical Slice-Mix-AggRegaTe (SMART) algorithm, the algorithm proposed in this paper has a better data privacy-preserving ability when the traffic load is not very heavy.

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A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

Cited by 14 publications

References 19 publications

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

Privacy-preserving data aggregation in resource-constrained sensor nodes in Internet of Things: A review

Multiorder Fusion Data Privacy-Preserving Scheme for Wireless Sensor Networks

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