دانلود رایگان مقاله لاتین مکانیزم کلان داده مقیاس پذیرحفاظت از حریم خصوصی از سایت الزویر
عنوان فارسی مقاله:
مکانیزم جمع آوری کلان داده مقیاس پذیرحفاظت از حریم خصوصی
عنوان انگلیسی مقاله:
Scalable privacy-preserving big data aggregation mechanism
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
As countless sensor technology breakthroughs enable the widespread implementations of large-scale Wireless Sensor Networks (WSNs), the sensor data collected by individual sensors contributes to the huge overall data volume of the network [1]. The big sensor data becomes an indispensable part of ‘Big Data’, the collection, storage, transmission and analysis of the big sensor data attract considerable attention from researchers [2]. The WSN [3] consists of low-cost and high-performance sensor nodes responsible for objective monitoring and data reporting, and the sink for sensor data gathering, which is widely applied to health care [4], food processing, environment monitoring, and wildlife tracking, As indicated in [5], the daily activities of people and machines nowadays are monitored and measured by sensors in unimaginable ways, therefore the collection, storage, transmission and analysis of the big sensor data are inevitably faced with severe challenges. Firstly, in numerous practical sensor network implementations such as forest fireproofing, senior healthcare and military surveillance, sensor data is privacy-sensitive and their security and privacy should be properly protected. In terms of the data privacy, the wireless medium, supporting the transmission of big sensor data, is generally exposed to severe privacy threats such as the data leakage and eavesdropping [6]. Especially for large-scale wireless sensor networks, the secure transmission of sensor data and the privacy of sensor nodes have to be effectively guaranteed [7]. Besides, the multi-hop transmission manner of sensor data in WSN enables the extra-long range data transmission while causing the “hot spot” problem for relay nodes close to the sink. Therefore, the resource restraints of sensor nodes should also be taken into account due to the heavy energy consumption of relay nodes, and the design of an efficient privacy-preserving method for big sensor data is crucial for the universal application of WSN. Secondly, in networks with densely deployed sensors, sensor data is always spatially correlated and the unnecessary transmission of redundant data will aggravate the network resource consumption [8]. The data aggregation technology [9] is commonly employed to reduce the transmission size and times of sensor data in WSNs, by exploiting the correlation of sensor data collected by neighbor sensors. The data aggregation method is especially beneficial for large-scale WSN, because it can sufficiently aggregate the big sensor data, effectively avoid the transmission of unnecessary redundant data and accurately extract the data features for the sink node to make the right decisions. Due to the importance of the aggregated big sensor data, the privacy of the aggregated results is extremely vulnerable without employing any privacy-preserving technology, and interception of the unprotected aggregation results will severely harm the network owner. Therefore, privacy-preserving technology is essential for the big sensor data aggregation, which can substantially prevent the original sensor data or the aggregated results from attacking [10]. Furthermore, the scalability and energy efficiency [11] of privacy-preserving big data aggregation should also be considered.
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کلمات کلیدی:
RiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in ... www.mdpi.com/1424-8220/17/2/300/pdf by K Zhang - 2017 - Cited by 1 Feb 7, 2017 - Keywords: aggregation; data privacy; wireless sensor networks; ring structure ... pseudonym mechanism for anonymous communication and uses a ... Like the SMART method, HEEPP also needs to exchange a large amount ... Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing ... ieeexplore.ieee.org/document/7310757/ by M Huai - 2015 - Cited by 1 - Related articles Since personal data may be privacy-sensitive, the aggregator should only gain ... privacy mechanism, can provide strong protection to ensure parties' privacy in such ... Published in: Big Data and Cloud Computing (BDCloud), 2015 IEEE Fifth ... A Secure Privacy-Preserving Data Aggregation Model in Wearable ... https://www.hindawi.com/journals/jece/2015/104286/ by C Zhang - 2015 - Cited by 1 - Related articles Sep 13, 2015 - In this paper, a security privacy-preserving data aggregation model ... Cryptographic is an efficient mechanism to secure data aggregation. ... It satisfied two conditions as follows:(1)The degree of cluster head is large enough. Secure and Privacy-Preserving Data Aggregation Protocols for ... - arXiv https://arxiv.org/pdf/1203.1175 by J Sen - 2012 - Cited by 3 - Related articles extensively used in privacy-preserving data mining. ... CPDA uses a random key distribution mechanism proposed in (Eschenauer & Gligor, 2002) ... communication in a large-scale sensor network and when a limited number of keys are. [PDF]Collaborative, Privacy-Preserving Data Aggregation at Scale https://www.cs.princeton.edu/~mfreed/docs/ppda-pet10.pdf by B Applebaum - Cited by 43 - Related articles solution for privacy-preserving data aggregation (PDA) among a large ..... Since the blinding scheme Fs is not necessarily invertible, the revealing mechanism.
