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Achieving adaptively secure data access control with privacy protection for lightweight IoT devices

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Science China(Information Sciences) 2021年第6期64卷 144-157页

作者： zhitao guan Wenti YANG Liehuang ZHU Longfei WU Ruimiao WANG School of Control and Computer Engineering North China Electric Power University School of Computer Beijing Institute of Technology Department of Mathematics and Computer Science Fayetteville State University

The Internet of things(IoT) technology has been used in a wide range of fields, ranging from industrial manufacturing to daily lives. The IoT system contains numerous resource-constrained lightweight devices such as wireless sensors and radio frequency identification(RFID) tags. A massive amount of sensitive data is generated and transmitted by these devices to a variety of users. The complexity of the IoT system places a high demand on security. Therefore, it is necessary to develop an encryption scheme with access control to provide flexible and secure access to the sensitive data. The ciphertext policy attribute-based encryption(CP-ABE) scheme is a potential solution. However, the long ciphertext as well as the slow encryption and decryption operations in traditional ABE schemes make it inappropriate for most IoT systems,which require low latency and contain many devices with limited memory size and computing capability. In this paper, we propose a modified CP-ABE scheme with constant length of ciphertext and low computation overhead in the encryption and decryption phases. Additionally, our scheme is proven to be adaptively secure under the standard model. Moreover, two enhanced schemes are developed to prevent authorized users from leaking data and protect the privacy of data owners by combining chameleon hash, bloom filters and CP-ABE, respectively. Finally, the experimental evaluation and analysis prove the feasibility of our scheme.

关键词： IoT CP-ABE constant-size ciphertexts adaptively secure privacy protection

EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid

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Science China(Information Sciences) 2019年第3期62卷 31-44页

作者： zhitao guan Yue ZHANG Liehuang ZHU Longfei WU Shui YU School of Control and Computer Engineering North China Electric Power University School of Computer Beijing Institute of Technology Department of Mathematics and Computer Science Fayetteville State University School of Information Technology Deakin University

Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy ***, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during *** security analysis shows that our scheme can satisfy the desired security requirements of smart *** addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.

关键词： privacy-preserving authentication batch verification smart grid

Top-K Query Framework in Wireless Sensor Networks for Smart Grid

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China Communications 2014年第6期11卷 89-98页

作者： WANG Hui guan zhitao YANG Tingting XU Yue School of economics and management North China Electric Power University

The smart grid has caught great attentions in recent years, which is poised to transform a centralized, producer-controlled network to a decentralized, consumer- interactive network that＇s supported by fine-grained monitoring. Large-scale WSNs （Wireless Sensor Networks） have been considered one of the very promising technologies to support the implementation of smart grid. WSNs are applied in almost every aspect of smart grid, including power generation, power transmission, power distribution, power utilization and power dispatch, and the data query processing of ＇WSNs in power grid＇ become an hotspot issue due to the amount of data of power grid is very large and the requirement of response time is very high. To meet the demands, top-k query processing is a good choice, which performs the cooperative query by aggregating the database objects＇ degree of match for each different query predicate and returning the best k matching objects. In this paper, a framework that can effectively apply top-k query to wireless sensor network in smart grid is proposed, which is based on the cluster-topology sensor network. In the new method, local indices are used to optimize the necessary query routing and process intermediate results inside the cluster to cut down the data traffic, and the hierarchical join query is executed based on the local ***, top-k query results are verified by the clean-up process, and two schemes are taken to deal with the problem of node＇s dynamicity, which further reduce communication cost. Case studies and experimental results show that our algorithm has outperformed the current existing one with higher quality results and better efficiently.

关键词： smart grid wireless sensornetwork top-k query framework.

Achieving Fine-Grained and Flexible Access Control on Blockchain-Based Data Sharing for the Internet of Things

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China Communications 2022年第6期19卷 22-34页

作者： Ruimiao Wang Xiaodong Wang Wenti Yang Shuai Yuan zhitao guan School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Department of Finance Operationsand Information SystemsBrock UniversityCanada

The traditional centralized data sharing systems have potential risks such as single point of failures and excessive working load on the central *** a distributed and collaborative alternative,approaches based upon blockchain have been explored recently for Internet of Things(IoTs).However,the access from a legitimate user may be denied without the pre-defined policy and data update on the blockchain could be costly to the *** this paper,we first address these issues by incorporating the Accountable Subgroup Multi-Signature(ASM)algorithm into the Attribute-based Access Control(ABAC)method with Policy Smart Contract,to provide a finegrained and flexible ***,we propose a policy-based Chameleon Hash algorithm that allows the data to be updated in a reliable and convenient way by the authorized ***,we evaluate our work by comparing its performance with the *** results demonstrate significant improvement on the effectiveness and efficiency.

关键词： blockchain access control smart contract multi-signature chameleon-hash data sharing Internet of Things

Automated and controlled patch generation for enhanced fixing of communication software vulnerabilities

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Intelligent and Converged Networks 2024年第3期5卷 222-236页

作者： Shuo Feng Shuai Yuan zhitao guan Xiaojiang Du School of Control and Computer Engineering North China Electric Power UniversityBeijing 100029China Department of Finance Operationsand Information SystemsBrock UniversitySt.Catharines L2S3A1Canada Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

Software is a crucial component in the communication systems,and its security is of paramount ***,it is susceptible to different types of attacks due to potential ***,significant time and effort is required to fix such *** propose an automated program repair method based on controlled text generation ***,we utilize a fine-tuned language model for patch generation and introduce a discriminator to evaluate the generation process,selecting results that contribute most to vulnerability ***,we perform static syntax analysis to expedite the patch verification *** effectiveness of the proposed approach is validated using QuixBugs and Defects4J datasets,demonstrating significant improvements in generating correct patches compared to other existing methods.

关键词： automatic program repair controlled text generation communication software security program language model

A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles

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Digital Communications and Networks 2024年第1期10卷 126-134页

作者： Naiyu Wang Wenti Yang Xiaodong Wang Longfei Wu zhitao guan Xiaojiang Du Mohsen Guizani School of Control and Computer Engineering North China Electric Power UniversityChina Department of Mathematics&Computer Science Fayetteville State UniversityFayettevilleNCUSA Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ07030USA Department of Computer Science and Engineering Qatar UniversityDohaQatar

The application of artificial intelligence technology in Internet of Vehicles(lov)has attracted great research interests with the goal of enabling smart transportation and traffic ***,concerns have been raised over the security and privacy of the tons of traffic and vehicle *** this regard,Federated Learning(FL)with privacy protection features is considered a highly promising ***,in the FL process,the server side may take advantage of its dominant role in model aggregation to steal sensitive information of users,while the client side may also upload malicious data to compromise the training of the global *** existing privacy-preserving FL schemes in IoV fail to deal with threats from both of these two sides at the same *** this paper,we propose a Blockchain based Privacy-preserving Federated Learning scheme named BPFL,which uses blockchain as the underlying distributed framework of *** improve the Multi-Krum technology and combine it with the homomorphic encryption to achieve ciphertext-level model aggregation and model filtering,which can enable the verifiability of the local models while achieving ***,we develop a reputation-based incentive mechanism to encourage users in IoV to actively participate in the federated learning and to practice *** security analysis and performance evaluations are conducted to show that the proposed scheme can meet the security requirements and improve the performance of the FL model.

关键词： Federated learning Blockchain Privacy-preservation Homomorphic encryption Internetof vehicles

FUSE: a federated learning and U-shape split learning-based electricity theft detection framework

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Science China(Information Sciences) 2024年第4期67卷 339-340页

作者： Xuan LI Naiyu WANG Liehuang ZHU Shuai YUAN zhitao guan School of Control and Computer Engineering North China Electric Power University School of Cyberspace Science and Technology Beijing Institute of Technology Department of Finance Operationsand Information Systems(FOIS)Brock University

In recent years, the data-driven electricity theft detection methods integrated with edge cloud computing [1, 2] have not only demonstrated superior detection accuracy but also improved efficiency, making them viable alternatives to indoor inspections. Energy service providers(ESPs) typically manage regions by dividing them into various transformer districts(TDs). The detection of electricity theft in a particular region is performed by the associated TD,

关键词： Sensitive data

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ISS:Efficient Search Scheme Based on Immune Method in Modern Unstructured Peer-to-Peer Networks

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Wuhan University Journal of Natural Sciences 2007年第5期12卷 866-870页

作者： guan zhitao CAO Yuanda ZHU Liehuang ZHANG Changyou FAN Xiumei School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

Flooding is the most famous technique for locating contents in unstructured P2P networks. Recently traditional flooding has been replaced by more efficient dynamic query （DQ） and different variants of such algorithms. Dynamic query is a new flooding technique which could estimate a proper time-to-live （TTL） value for a query flooding by estimating the popularity of the searched files, and retrieve sufficient results under controlled flooding range for reducing network traffic. However, all DQ-like search algorithms are ＂blind＂ so that a large amount of redundant messages are caused. In this paper, we proposed a new search scheme, called Immune Search Scheme （ISS）, to cope with this problem. In ISS, an immune systems inspired concept of similarity-governed clone proliferation and mutation for query message movement is applied. Some assistant strategies, that is, shortcuts creation and peer traveling are incorporated into ISS to develop ＂immune memory＂ for improving search performance, which can make ISS not be blind but heuristic.

关键词： peer-to-peer dynamic query immune method clone proliferation and mutation

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中国电影产业时空演变特征及驱动因素

热带地理 2021年第5期41卷 943-955页

作者：刘海龙管志涛山西师范大学地理科学学院山西临汾041004 山西师范大学传媒学院山西临汾041004

从产业环境、产业规模和产业效益3个维度构建综合评价指标体系,运用熵值法对中国2012—2018年省域尺度电影产业进行综合评价,运用GIS空间分析技术和地理探测器模型,分析其时空演变规律和影响因素。结果表明:1)2012—2018年中国电影产业... 详细信息

从产业环境、产业规模和产业效益3个维度构建综合评价指标体系,运用熵值法对中国2012—2018年省域尺度电影产业进行综合评价,运用GIS空间分析技术和地理探测器模型,分析其时空演变规律和影响因素。结果表明:1)2012—2018年中国电影产业发展整体水平不高,但发展速度显著提高,“T”字型空间结构逐渐形成,其发展空间格局与经济发展格局趋同性特征显著;2)电影产业的发展环境进一步优化,空间格局整体呈现东、西部地区高,中部地区低的“凹”字型特征;3)电影产业规模上升较快,形成东部发达地区高于中西部地区的格局;4)产业效益增长显著,空间分布东南高、西北低的格局逐步明晰;5)电影产业发展水平省际之间差异大,均衡化演变趋势逐渐显著,影片制作发行和票房收入是导致省级电影产业指数差异大的主要原因;6)电影产业的发展及其时空演变是以经济和对外开放程度因素驱动为主,人口、政策、文化等因素共同作用的结果。

关键词：电影产业熵值法地理探测器中国