With the rapid development of blockchain technology,the Chinese government has proposed that the commercial use of blockchain services in China should support the national encryption standard,also known as the state s...With the rapid development of blockchain technology,the Chinese government has proposed that the commercial use of blockchain services in China should support the national encryption standard,also known as the state secret algorithm GuoMi algorithm.The original Hyperledger Fabric only supports internationally common encryption algorithms,so it is particularly necessary to enhance support for the national encryption standard.Traditional identity authentication,access control,and security audit technologies have single-point failures,and data can be easily tampered with,leading to trust issues.To address these problems,this paper proposes an optimized and application research plan for Hyperledger Fabric.We study the optimization model of cryptographic components in Hyperledger Fabric,and based on Fabric's pluggable mechanism,we enhance the Fabric architecture with the national encryption standard.In addition,we research key technologies involved in the secure application protocol based on the blockchain.We propose a blockchain-based identity authentication protocol,detailing the design of an identity authentication scheme based on blockchain certificates and Fabric CA,and use a dual-signature method to further improve its security and reliability.Then,we propose a flexible,dynamically configurable real-time access control and security audit mechanism based on blockchain,further enhancing the security of the system.展开更多
Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for ma...Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for machines to achieve binaural rendering since the description of a sound field often requires multiple channels and even the metadata of the sound sources. In addition, the perceived sound varies from person to person even in the same sound field. Previous methods generally rely on individual-dependent head-related transferred function(HRTF)datasets and optimization algorithms that act on HRTFs. In practical applications, there are two major drawbacks to existing methods. The first is a high personalization cost, as traditional methods achieve personalized needs by measuring HRTFs. The second is insufficient accuracy because the optimization goal of traditional methods is to retain another part of information that is more important in perception at the cost of discarding a part of the information. Therefore, it is desirable to develop novel techniques to achieve personalization and accuracy at a low cost. To this end, we focus on the binaural rendering of ambisonic and propose 1) channel-shared encoder and channel-compared attention integrated into neural networks and 2) a loss function quantifying interaural level differences to deal with spatial information. To verify the proposed method, we collect and release the first paired ambisonic-binaural dataset and introduce three metrics to evaluate the content information and spatial information accuracy of the end-to-end methods. Extensive experimental results on the collected dataset demonstrate the superior performance of the proposed method and the shortcomings of previous methods.展开更多
Biotechnology, as an emerging technology, has drawn much attention from the public and elicited hot debates in countries around the world and among various stakeholders. Due to the public's limited access to front...Biotechnology, as an emerging technology, has drawn much attention from the public and elicited hot debates in countries around the world and among various stakeholders. Due to the public's limited access to front-line scientific information and scientists, as well as the difficulty of processing complex scientific knowledge, the media have become one of the most important channels for the public to get news about scientific issues such as genetically modified organisms(GMOs). According to framing theory, how the media portray GMO issues may influence audiences' perceptions of those issues. Moreover, different countries and societies have various GMO regulations, policies and public opinion, which also affect the way media cover GMO issues. Thus, it is necessary to investigate how GMO issues are covered in different media outlets across different countries. We conducted a comparative content analysis of media coverage of GMO issues in China, the US and the UK. One mainstream news portal in each of the three countries was chosen(People's Daily for China, The New York Times for the US, and The Guardian for the UK). We collected coverage over eight years, from 2008 to 2015, which yielded 749 pieces of news in total. We examined the sentiments expressed and the generic frames used in coverage of GMO issues. We found that the factual, human interest, conflict and regulation frames were the most common frames used on the three portals, while the sentiments expressed under those frames varied across the media outlets, indicating differences in the state of GMO development, promotion and regulation among the three countries.展开更多
To prevent misuse of privacy,numerous anonymous authentication schemes with linkability and/or traceability have been proposed to ensure different types of accountabilities.Previous schemes cannot simultaneously achie...To prevent misuse of privacy,numerous anonymous authentication schemes with linkability and/or traceability have been proposed to ensure different types of accountabilities.Previous schemes cannot simultaneously achieve public linking and tracing while holding access control,therefore,a new tool named linkable and traceable anonymous authentication with fine-grained access control(LTAA-FGAC)is offered,which is designed to satisfy:(i)access control,i.e.,only authorized users who meet a designated authentication policy are approved to authenticate messages;(ii)public linkability,i.e.,anyone can tell whether two authentications with respect to a common identifier are created by an identical user;(iii)public traceability,i.e.,everyone has the ability to deduce a double-authentication user’s identity from two linked authentications without the help of other parties.We formally define the basic security requirements for the new tool,and also give a generic construction so as to satisfy these requirements.Then,we present a formal security proof and an implementation of our proposed LTAA-FGAC scheme.展开更多
Incremental code editing,as a fundamental task in software development,requires developers to iteratively identify edit locations and modify code.However,existing language model-driven approaches primarily focus on ge...Incremental code editing,as a fundamental task in software development,requires developers to iteratively identify edit locations and modify code.However,existing language model-driven approaches primarily focus on generating edit solutions for a single location,failing to provide comprehensive end-to-end solutions.To address this limitation and support real-world editing scenarios,we propose CoEdPilot,a project-wide interactive code editing recommendation tool.CoEdPilot utilizes edit descriptions and edit history,and recommends the next edit location with solutions across the entire project.It further refines its recommendations based on user editing feedback,enabling an end-to-end,iterative,and interactive editing process.We implement CoEdPilot as a visual studio code extension that monitors user actions,identifies subsequent editing locations,and generates edits throughout the project.Its functionality is powered by a set of back-end language models,which are trained on 180000 high-quality commits from 471 open-source repositories.Extensive experiments demonstrate CoEdPilot's capabilities in accurately identifying editing locations(i.e.,edit location predicted with an accuracy of 85.03%–88.99%)and generating high-quality edit solutions(i.e.,generated edit content with a top-1 exact match rate(EMR)of 33.48%–48.94%).Our case study and user study of 18 participants further validate CoEdPilot's practicability.展开更多
The second-order random walk has recently been shown to effectively improve the accuracy in graph analysis tasks.Existing work mainly focuses on centralized second-order random walk(SOW)algorithms.SOW algorithms rely ...The second-order random walk has recently been shown to effectively improve the accuracy in graph analysis tasks.Existing work mainly focuses on centralized second-order random walk(SOW)algorithms.SOW algorithms rely on edge-to-edge transition probabilities to generate next random steps.However,it is prohibitively costly to store all the probabilities for large-scale graphs,and restricting the number of probabilities to consider can negatively impact the accuracy of graph analysis tasks.In this paper,we propose and study an alternative approach,SOOP(second-order random walks with on-demand probability computation),that avoids the space overhead by computing the edge-to-edge transition probabilities on demand during the random walk.However,the same probabilities may be computed multiple times when the same edge appears multiple times in SOW,incurring extra cost for redundant computation and communication.We propose two optimization techniques that reduce the complexity of computing edge-to-edge transition probabilities to generate next random steps,and reduce the cost of communicating out-neighbors for the probability computation,respectively.Our experiments on real-world and synthetic graphs show that SOOP achieves orders of magnitude better performance than baseline precompute solutions,and it can efficiently computes SOW algorithms on billion-scale graphs.展开更多
China has made remarkable progress in the socioeconomic sphere since the reform and opening up in 1978;further,its success in large-scale poverty alleviation has been warmly applauded by the international community.Af...China has made remarkable progress in the socioeconomic sphere since the reform and opening up in 1978;further,its success in large-scale poverty alleviation has been warmly applauded by the international community.After the 18th National Congress of the Communist Party of China(CPC)in 2012,the CPC Central Committee and the State Council decided to adopt targeted poverty reduction and alleviation as the basic strategy for providing development-oriented poverty alleviation.The report delivered at the 19th National Congress of the CPC in 2017 proposed that“we must ensure that by the year 2020,all rural residents living below the current poverty line have been lifted out of poverty,and poverty is eliminated in all poor countries and regions.”展开更多
基金supported by Fujian Provincial Social Science Foundation Public Security Theory Research Project(FJ2023TWGA004)Education and Scientific Research Special Project of Fujian Provincial Department of Finance(Research on the Application of Blockchain Technology in Prison Law Enforcement Management),under National Key R&D Program of China(2020YFB1005500)。
文摘With the rapid development of blockchain technology,the Chinese government has proposed that the commercial use of blockchain services in China should support the national encryption standard,also known as the state secret algorithm GuoMi algorithm.The original Hyperledger Fabric only supports internationally common encryption algorithms,so it is particularly necessary to enhance support for the national encryption standard.Traditional identity authentication,access control,and security audit technologies have single-point failures,and data can be easily tampered with,leading to trust issues.To address these problems,this paper proposes an optimized and application research plan for Hyperledger Fabric.We study the optimization model of cryptographic components in Hyperledger Fabric,and based on Fabric's pluggable mechanism,we enhance the Fabric architecture with the national encryption standard.In addition,we research key technologies involved in the secure application protocol based on the blockchain.We propose a blockchain-based identity authentication protocol,detailing the design of an identity authentication scheme based on blockchain certificates and Fabric CA,and use a dual-signature method to further improve its security and reliability.Then,we propose a flexible,dynamically configurable real-time access control and security audit mechanism based on blockchain,further enhancing the security of the system.
基金supported in part by the National Natural Science Foundation of China (62176059, 62101136)。
文摘Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for machines to achieve binaural rendering since the description of a sound field often requires multiple channels and even the metadata of the sound sources. In addition, the perceived sound varies from person to person even in the same sound field. Previous methods generally rely on individual-dependent head-related transferred function(HRTF)datasets and optimization algorithms that act on HRTFs. In practical applications, there are two major drawbacks to existing methods. The first is a high personalization cost, as traditional methods achieve personalized needs by measuring HRTFs. The second is insufficient accuracy because the optimization goal of traditional methods is to retain another part of information that is more important in perception at the cost of discarding a part of the information. Therefore, it is desirable to develop novel techniques to achieve personalization and accuracy at a low cost. To this end, we focus on the binaural rendering of ambisonic and propose 1) channel-shared encoder and channel-compared attention integrated into neural networks and 2) a loss function quantifying interaural level differences to deal with spatial information. To verify the proposed method, we collect and release the first paired ambisonic-binaural dataset and introduce three metrics to evaluate the content information and spatial information accuracy of the end-to-end methods. Extensive experimental results on the collected dataset demonstrate the superior performance of the proposed method and the shortcomings of previous methods.
基金supported by the Science Popularization and Risk Communication of Transgenic Biotechnologies project (grant ID:2016ZX08015002)
文摘Biotechnology, as an emerging technology, has drawn much attention from the public and elicited hot debates in countries around the world and among various stakeholders. Due to the public's limited access to front-line scientific information and scientists, as well as the difficulty of processing complex scientific knowledge, the media have become one of the most important channels for the public to get news about scientific issues such as genetically modified organisms(GMOs). According to framing theory, how the media portray GMO issues may influence audiences' perceptions of those issues. Moreover, different countries and societies have various GMO regulations, policies and public opinion, which also affect the way media cover GMO issues. Thus, it is necessary to investigate how GMO issues are covered in different media outlets across different countries. We conducted a comparative content analysis of media coverage of GMO issues in China, the US and the UK. One mainstream news portal in each of the three countries was chosen(People's Daily for China, The New York Times for the US, and The Guardian for the UK). We collected coverage over eight years, from 2008 to 2015, which yielded 749 pieces of news in total. We examined the sentiments expressed and the generic frames used in coverage of GMO issues. We found that the factual, human interest, conflict and regulation frames were the most common frames used on the three portals, while the sentiments expressed under those frames varied across the media outlets, indicating differences in the state of GMO development, promotion and regulation among the three countries.
基金supported by the National Natural Science Foundation of China(Grant Nos.U2001205,61932010)Guangdong Basic and Applied Basic Research Foundation(Nos.2023B1515040020,2019B030302008)Guangdong Provincial Key Laboratory of Power System Network Security(No.GPKLPSNS-2022-KF-05).
文摘To prevent misuse of privacy,numerous anonymous authentication schemes with linkability and/or traceability have been proposed to ensure different types of accountabilities.Previous schemes cannot simultaneously achieve public linking and tracing while holding access control,therefore,a new tool named linkable and traceable anonymous authentication with fine-grained access control(LTAA-FGAC)is offered,which is designed to satisfy:(i)access control,i.e.,only authorized users who meet a designated authentication policy are approved to authenticate messages;(ii)public linkability,i.e.,anyone can tell whether two authentications with respect to a common identifier are created by an identical user;(iii)public traceability,i.e.,everyone has the ability to deduce a double-authentication user’s identity from two linked authentications without the help of other parties.We formally define the basic security requirements for the new tool,and also give a generic construction so as to satisfy these requirements.Then,we present a formal security proof and an implementation of our proposed LTAA-FGAC scheme.
基金supported by the National Key Technology Research and Development Program of China under Grant No.2023YFB4503802the Minister of Education of Singapore under Grant Nos.MOE-T2EP20124-0017 and MOET32020-0004+1 种基金the National Research Foundation of Singapore and the Cyber Security Agency under its National Cybersecurity Research and Development Programme under Grant No.NCRP25-P04-TAICeNDefence Science Organisation National Laboratories under the AI Singapore Programme of AISG Award No.AISG2-GC-2023-008。
文摘Incremental code editing,as a fundamental task in software development,requires developers to iteratively identify edit locations and modify code.However,existing language model-driven approaches primarily focus on generating edit solutions for a single location,failing to provide comprehensive end-to-end solutions.To address this limitation and support real-world editing scenarios,we propose CoEdPilot,a project-wide interactive code editing recommendation tool.CoEdPilot utilizes edit descriptions and edit history,and recommends the next edit location with solutions across the entire project.It further refines its recommendations based on user editing feedback,enabling an end-to-end,iterative,and interactive editing process.We implement CoEdPilot as a visual studio code extension that monitors user actions,identifies subsequent editing locations,and generates edits throughout the project.Its functionality is powered by a set of back-end language models,which are trained on 180000 high-quality commits from 471 open-source repositories.Extensive experiments demonstrate CoEdPilot's capabilities in accurately identifying editing locations(i.e.,edit location predicted with an accuracy of 85.03%–88.99%)and generating high-quality edit solutions(i.e.,generated edit content with a top-1 exact match rate(EMR)of 33.48%–48.94%).Our case study and user study of 18 participants further validate CoEdPilot's practicability.
文摘The second-order random walk has recently been shown to effectively improve the accuracy in graph analysis tasks.Existing work mainly focuses on centralized second-order random walk(SOW)algorithms.SOW algorithms rely on edge-to-edge transition probabilities to generate next random steps.However,it is prohibitively costly to store all the probabilities for large-scale graphs,and restricting the number of probabilities to consider can negatively impact the accuracy of graph analysis tasks.In this paper,we propose and study an alternative approach,SOOP(second-order random walks with on-demand probability computation),that avoids the space overhead by computing the edge-to-edge transition probabilities on demand during the random walk.However,the same probabilities may be computed multiple times when the same edge appears multiple times in SOW,incurring extra cost for redundant computation and communication.We propose two optimization techniques that reduce the complexity of computing edge-to-edge transition probabilities to generate next random steps,and reduce the cost of communicating out-neighbors for the probability computation,respectively.Our experiments on real-world and synthetic graphs show that SOOP achieves orders of magnitude better performance than baseline precompute solutions,and it can efficiently computes SOW algorithms on billion-scale graphs.
文摘China has made remarkable progress in the socioeconomic sphere since the reform and opening up in 1978;further,its success in large-scale poverty alleviation has been warmly applauded by the international community.After the 18th National Congress of the Communist Party of China(CPC)in 2012,the CPC Central Committee and the State Council decided to adopt targeted poverty reduction and alleviation as the basic strategy for providing development-oriented poverty alleviation.The report delivered at the 19th National Congress of the CPC in 2017 proposed that“we must ensure that by the year 2020,all rural residents living below the current poverty line have been lifted out of poverty,and poverty is eliminated in all poor countries and regions.”
