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A fine-grained privacy protection data aggregation scheme for outsourcing smart grid

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Frontiers of Computer Science 2023年第3期17卷 187-198页

作者： Hongyang LI Xinghua LI Qingfeng CHENG School of Cyber Engineering Xidian UniversityXi’an 710071China Strategic Support Force Information Engineering University Zhengzhou 450001China

Compared with the traditional power grid,smart grid involves many advanced technologies and ***,due to the rapid development of various network technologies,smart grid is facing the challenges of balancing privacy,security,efficiency,and *** the proposed scheme,we design a privacy protection scheme for outsourcing smart grid aided by fog computing,which supports fine-grained privacy-protected data aggregation based on user *** fog server matches the encrypted characteristics in the received message with the encrypted aggregation rules issued by the service ***,the service provider can get more fine-grained analysis data based on user *** from the existing outsourcing smart grid schemes,the proposed scheme can achieve real-time pricing on the premise of protecting user privacy and achieving system fault ***,experiment analyses demonstrate that the proposed scheme has less computation overhead and lower transmission delay than existing schemes.

关键词： smart grid data aggregation fine-grained privacy preservation real-time pricing

IMPROVED ALGORITHM FOR MINIMUM data aggregation TIME PROBLEM IN WIRELESS SENSOR NETWORKS

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Journal of Systems Science & Complexity 2008年第4期21卷 626-636页

作者： Jianming ZHU Xiaodong HU Graduate School of Chinese Academy of Sciences Beijing 100049 China. Institute of Applied Mathematics Chinese Academy of Sciences Beijing 100190 China.

Wireless sensor networks promise a new paradigm for gathering data via collaboration among sensors spreading over a large geometrical region. Many applications impose delay requirements for data gathering and ask for time-efficient schedules for aggregating sensed data and sending to the data sink. In this paper, the authors study the minimum data aggregation time problem under collision-free transmission model. In each time round, data sent by a sensor reaches all sensors within its transmission range, but a sensor can receive data only when it is the only data that reaches the sensor. The goal is to find the method that schedules data transmission and aggregation at sensors so that the time for all requested data to be sent to the data sink is minimal. The authors propose a 7△/log2｜s｜＋c, new approximation algorithm for this NP-hard problem with guaranteed performance ratio which significantly reduces the current best ratio of △- 1, where S is the set of sensors containing source data, A is the maximal number of sensors within the transmission range of any sensor, and e is a constant. The authors also conduct extensive simulation, the obtained results justify the improvement of proposed algorithm over the existing one.

关键词： Approximation algorithm data aggregation wireless sensor network.

An efficient data aggregation scheme with local differential privacy in smart grid

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Digital Communications and Networks 2022年第3期8卷 333-342页

作者： Na Gai Kaiping Xue Bin Zhu Jiayu Yang Jianqing Liu Debiao He School of Cyber Science and Technology University of Science and Technology of ChinaHefeiAnhui230027China Department of Electronic Engineering and Information Science University of Science and Technology of ChinaHefeiAnhui230027China Department of Electrical and Computer Engineering University of Alabama in HuntsvilleHuntsvilleAL35899USA Key Laboratory of Aerospace Information Security and Trusted Computing of Ministry of Education School of Cyber Science and EngineeringWuhan UniversityWuhanBeihu430072China

By integrating the traditional power grid with information and communication technology, smart grid achieves dependable, efficient, and flexible grid data processing. The smart meters deployed on the user side of the smart grid collect the users' power usage data on a regular basis and upload it to the control center to complete the smart grid data acquisition. The control center can evaluate the supply and demand of the power grid through aggregated data from users and then dynamically adjust the power supply and price, etc. However, since the grid data collected from users may disclose the user's electricity usage habits and daily activities, privacy concern has become a critical issue in smart grid data aggregation. Most of the existing privacy-preserving data collection schemes for smart grid adopt homomorphic encryption or randomization techniques which are either impractical because of the high computation overhead or unrealistic for requiring a trusted third party.

关键词： Local differential privacy data aggregation Smart grid Privacy preserving

A Secret Confusion Based Energy-Saving and Privacy-Preserving data aggregation Algorithm

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Chinese Journal of Electronics 2017年第4期26卷 740-746页

作者： ZHANG Jun ZHU Jianghao JIA Zongpu YAN Xixi College of Computer Science and Technology Henan Polytechnic University

To reduce communication overhead on the premise of privacy protection, this study presents a novel secret Confusion based energy-saving and privacypreserving data aggregation algorithm(CESPT). In confusion phase, CESPT confuses real sensory data and their sources by positive-negative pairs and a confusion factor is introduced to determine the quantity of pairs generated by a sensor, the exchange rounds and the threshold of data exchange, which affect communication overhead and privacy intensity of a Wireless sensor network(WSN). In aggregation phase, CESPT adopts a positive-negative neutralization strategy and a well-designed time slice allocation mechanism to reduce network traffic and message *** a word, CESPT can greatly reduce data traffic and energy consumption and obtain accurate statistical results on the basis of data privacy.

关键词： Wireless sensor network(WSN) data aggregation Privacy-preserving Energy-saving Positive negative pair

An Efficient and Privacy-Preserving data aggregation Scheme Supporting Arbitrary Statistical Functions in IoT

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China Communications 2022年第6期19卷 91-104页

作者： Haihui Liu Jianwei Chen Liwei Lin Ayong Ye Chuan Huang College of Computer and Cyber Security Fujian Normal UniversityFuzhou 350117China Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal UniversityFuzhou 350117China School of Computer Science and Mathematics Fujian University of TechnologyFuzhou 350118China Digital Fujian Institute of Big data Security Technology Fujian Normal UniversityFuzhou 350117China

The Internet of Things(IoT)has profoundly impacted our lives and has greatly revolutionized our *** terminal devices in an IoT data aggregation application sense real-time data for the remote cloud server to achieve intelligent ***,the high frequency of collecting user data will raise people concerns about personal *** recent years,many privacy-preserving data aggregation schemes have been ***,most existing schemes cannot support either arbitrary aggregation functions,or dynamic user group management,or fault *** this paper,we propose an efficient and privacy-preserving data aggregation *** the scheme,we design a lightweight encryption method to protect the user privacy by using a ring topology and a random location *** this basis,the proposed scheme supports not only arbitrary aggregation functions,but also flexible dynamic user ***,the scheme achieves faulttolerant capabilities by utilizing a future data buffering *** analysis reveals that the scheme can achieve the desired security properties,and experimental evaluation results show the scheme's efficiency in terms of computational and communication overhead.

关键词： Internet of Things data aggregation privacy protection arbitrary aggregation functions

A Survey on the Privacy-Preserving data aggregation in Wireless Sensor Networks

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China Communications 2015年第5期12卷 162-180页

作者： XU Jian YANG Geng CHEN Zhengyu WANG Qianqian Jiangsu High Technology Research Key Lab for WSNs College of Computer Science & TechnologyNanjing University of Posts & Telecommunications Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts & Telecommunications School of Electrical & Information Engineering Jinling Institute of Technology School of Software Engineering Jinling Institute of Technology

Wireless sensor networks(WSNs)consist of a great deal of sensor nodes with limited power,computation,storage,sensing and communication *** aggregation is a very important technique,which is designed to substantially reduce the communication overhead and energy expenditure of sensor node during the process of data collection in a ***,privacy-preservation is more challenging especially in data aggregation,where the aggregators need to perform some aggregation operations on sensing data it *** present a state-of-the art survey of privacy-preserving data aggregation in *** first,we classify the existing privacy-preserving data aggregation schemes into different categories by the core privacy-preserving techniques used in each *** then compare and contrast different algorithms on the basis of performance measures such as the privacy protection ability,communication consumption,power consumption and data accuracy ***,based on the existing work,we also discuss a number of open issues which may intrigue the interest of researchers for future work.

关键词： wireless sensor networks data aggregation privacy-preserving

PVF-DA: Privacy-Preserving, Verifiable and FaultTolerant data aggregation in MEC

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China Communications 2020年第8期17卷 58-69页

作者： Jianhong Zhang Qijia Zhang Shenglong Ji Wenle Bai School of Information Sciences and Technology North China University of TechnologyBeijing 100144China Guizhou University Guizhou Provincial Key Laboratory of Public Big DataGuiyang 550025China Legendsec Information Technology(Beijing)Inc. Beijing 100085China

As an emergent-architecture, mobile edge computing shifts cloud service to the edge of networks. It can satisfy several desirable characteristics for Io T systems. To reduce communication pressure from Io T devices, data aggregation is a good candidate. However, data processing in MEC may suffer from many challenges, such as unverifiability of aggregated data, privacy-violation and fault-tolerance. To address these challenges, we propose PVF-DA: privacy-preserving, verifiable and fault-tolerant data aggregation in MEC based on aggregator-oblivious encryption and zero-knowledge-proof. The proposed scheme can not only provide privacy protection of the reported data, but also resist the collusion between MEC server and corrupted Io T devices. Furthermore, the proposed scheme has two outstanding features: verifiability and strong fault-tolerance. Verifiability can make Io T device to verify whether the reported sensing data is correctly aggregated. Strong fault-tolerance makes the aggregator to compute an aggregate even if one or several Io Ts fail to report their data. Finally, the detailed security proofs are shown that the proposed scheme can achieve security and privacy-preservation properties in MEC.

关键词： MEC data aggregation verifiability privacy-preserving fault-tolerance

An Energy-Efficient Mobile Agent-Based data aggregation Scheme for Wireless Body Area Networks

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Computers, Materials & Continua 2022年第3期70卷 5929-5948页

作者： Gulzar Mehmood Muhammad Zahid Khan Muhammad Fayaz Mohammad Faisal Haseeb Ur Rahman Jeonghwan Gwak Department of Computer Science&Information Technology University of MalakandChakdara Dir Lower23021Pakistan Department of Computer Science University of Central AsiaNarynKyrgyzstan Department of Software Korea National University of TransportationChungju27469Korea Department of Biomedical Engineering Korea National University of TransportationChungju27469Korea Department of AI Robotics Engineering Korea National University of TransportationChungju27469Korea Department of IT and Energy Convergence(BK21 FOUR) Korea National University of TransportationChungju27469Korea

Due to the advancement in wireless technology and miniaturization,Wireless Body Area Networks(WBANs)have gained enormous popularity,having various applications,especially in the healthcare *** are intrinsically resource-constrained;therefore,they have specific design and development *** such highly desirable requirement is an energy-efficient and reliable data aggregation(DA)mechanism for *** efficient and reliableDAmay ultimately push the network to operate without much human intervention and further extend the network *** conventional client-serverDAparadigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the ***,in most of the healthcare applications(patient’s critical conditions),it is highly important and required to send data as soon as possible;therefore,reliable data aggregation in WBANs is of great *** tackle the shortcomings of the client-serverDAparadigm,theMobile Agent-Basedmechanismproved to be a more workable *** aMobile Agent-Based mechanism,a taskspecific mobile agent(code)traverses to the intended sources to gather *** agents travel on a predefined path called itinerary;however,planning a suitable and reliable itinerary for a mobile agent is also a challenging issue *** paper presents a new Mobile Agent-Based DA scheme for WBANs,which is energy-efficient and ***,in the proposed scheme,the network is divided into clusters,and cluster-heads are ***,a mobile agent is generated from the base station to collect the required data from cluster *** the case,if any fault occurs in the existing itinerary,an alternate itinerary is planned in real-time without compromising the network *** our simulation-based validation,we have found that the proposed system delivers significantly improved fault-tolerance and reliability with energy-efficiency and extended network lifetime in WBANs.

关键词： WBANs mobile-agent data aggregation reliability

Hierarchical data aggregation with data Offloading Scheme for Fog Enabled IoT Environment

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Computer Systems Science & Engineering 2023年第3期44卷 2033-2047页

作者： P.Nalayini R.Arun Prakash Department of Computer Science and Engineering Kings College of EngineeringPunalkulam613303TamilnaduIndia Department of Computer Science and Engineering University College of EngineeringAriyalur621704TamilnaduIndia

Fog computing is a promising technology that has been emerged to handle the growth of smart devices as well as the popularity of latency-sensitive and location-awareness Internet of Things(IoT)*** the emergence of IoT-based services,the industry of internet-based devices has *** number of these devices has raised from millions to billions,and it is expected to increase further in the near ***,additional challenges will be added to the traditional centralized cloud-based architecture as it will not be able to handle that growth and to support all connected devices in real-time without affecting the user *** data aggregation models for Fog enabled IoT environ-ments possess high computational complexity and communication ***-fore,in order to resolve the issues and improve the lifetime of the network,this study develops an effective hierarchical data aggregation with chaotic barnacles mating optimizer(HDAG-CBMO)*** HDAG-CBMO technique derives afitness function from many relational matrices,like residual energy,average distance to neighbors,and centroid degree of target ***,a chaotic theory based population initialization technique is derived for the optimal initial position of ***,a learning based data offloading method has been developed for reducing the response time to IoT user requests.A wide range of simulation analyses demonstrated that the HDAG-CBMO technique has resulted in balanced energy utilization and prolonged lifetime of the Fog assisted IoT networks.

关键词： Internet of things fog computing barnacles mating optimizer data offloading data aggregation