最新刊期
卷 11 ， 期 4 ， 2025
- 摘要：Data intellectual property has garnered significant attention as a crucial component of the data property rights system. Despite the rapid development of data intellectual property practices, there remains academic debate regarding whether it is necessary to establish data intellectual property rights and how such rights should be structured. In this context, the existence of intellectual property in the form of data is analyzed, and three types of datasets that could be endowed with intellectual property rights are identified. The necessity of creating novel data intellectual property rights is discussed from the perspectives of newly protected subject matter, innovative identification methods, and enhanced protection mechanisms. A definition of data intellectual property is proposed, and a conceptual framework is constructed in which intellectual property extends from the reality to cyberspace, thereby providing theoretical support for the advancement of data intellectual property.关键词：intellectual property rights;data rights protection475|294|0更新时间：2025-07-15
- 摘要：In recent years, the practice of data intellectual property has developed rapidly, yet there remains considerable debate within the theoretical community, particularly regarding whether the data production process involves creative labor—a pivotal criterion in determining a dataset’s eligibility for intellectual property rights. This paper examines the potential forms of creative labor in both primary data production and data reproduction, proposing four possible types of creative labor for each. The findings provide theoretical support and a foundation for the substantive review process in current data intellectual property registration, as well as for the construction of a data intellectual property system and the formulation of related policies.关键词：data intellectual property;data production;data compilation249|242|0更新时间：2025-07-15
- 摘要：Through a study of a large number of intellectual property department laws, starting from the general principles and rules of intellectual property, the fitness of the concept of data intellectual property is demonstrated, and the differences between data intellectual property and concepts such as data property, data products, and data intellectual property construction schemes are clarified. Analyze the relationship between data intellectual property and the separation of data rights, the applicability of the data intellectual property system from the perspective of encouraging data circulation and usage, and clarify the rights of data intellectual property holders. Based on the development of the intellectual property system and case studies, propose understanding, guiding principles for registration, ideas for registration review, and specific examination standards for the elements of “obtaining data by laws and regulations, processing according to certain rules, and having practical value, intellectual achievement attribute, data set”, as well as substantive elements that data intellectual property should possess. Based on this, demonstrate the role of registration certificates and the criteria for determining the attributes of intellectual property.关键词：data intellectual property construction plan;data intellectual property holder;registration329|235|0更新时间：2025-07-15
- 摘要：In the era of the digital economy, data serving as a key factor of production, faces challenges in ownership confirmation and circulation. Although China has piloted data intellectual property registration systems in multiple regions, practical implementation reveals issues such as low legislative hierarchy, rough review mechanisms, and fragmented standard systems. Based on temporal, theoretical, and institutional logics, this paper analyzes the necessity of establishing a data intellectual property registration system, arguing that it aligns with the characteristics of data such as non-depletability and publicness, and draws on the logic of intellectual property protection. Drawing on practices from 17 pilot regions, the paper identifies key problems in the current system, including insufficient legal authority, unclear institutional roles, and deficiencies in formal examination. It then proposes improvement pathways in three areas: standard unification, rights balancing, and resource optimization.关键词：registration system;intellectual property;digital economy226|226|0更新时间：2025-07-15
- 摘要：To accelerate the construction of the data intellectual property system, relevant theoretical research was reviewed and analyzed, and the experience of data intellectual property reform in Zhejiang Province was extracted as a case study. On the theoretical level, the academic community has conducted in-depth discussions on the concept of data, the confirmation of data rights, and the allocation of data rights, and emphasized the issues that the current data intellectual property registration system should pay attention to. On the practical level, as one of the first pilot regions for data intellectual property rights in China, Zhejiang Province takes “value creation and value realization” as its core, adheres to the principle of theory first and attaches great importance to in-depth research and careful planning; upholds the concept of system and promotes data intellectual property work in a larger working pattern, strengthens collaborative efforts and highlights ecological cultivation; adheres to the principle of putting demand first and promotes value realization. It has formed a unique pilot model of data intellectual property. Analyzing and summarizing the process and experience of data intellectual property reform in Zhejiang Province has certain reference significance for theoretical research focusing on the data intellectual property and the construction of the national data intellectual property system.关键词：data rights;digital economy427|308|0更新时间：2025-07-15
- 摘要：Data intellectual property rights have been widely used in machine learning, AI, scientific data, etc., aiming to solve the ownership issues of data circulation and utilization among different subjects to ensure the rights of data subjects. However, its application in data elements circulation and transaction is still in the initial stage, with problems such as inconsistent data standards, dispersed platform, and insufficient understanding, which need to be studied and solved. Based on data intellectual property rights, this paper studies and designs a data elements circulation and transaction platform with data authentication and registration technologies such as federated learning and secure gateways, at the same time providing full-chain services such as data asset inventory, scenario-based data governance, quality assessment, intellectual property registration, and compliance assessment to innovatively building a comprehensive data elements authentication and registration as well as circulation and transaction business model. The paper also analyzes and elaborates an application example under this model, proving the value and significance of the model and providing important support for data element value exploration, market cultivation and development.关键词：data element;data product;data circulation320|305|0更新时间：2025-07-15
-
Data Security AI导读
-
Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking AI导读
摘要：Digital audio watermarking aims to embed information into audio and accurately extract it from the watermarked audio. Traditional methods rely on algorithms designed based on expert experience to embed watermarks into the time domain or transform domain of signals. With the development of deep neural networks, neural audio watermarking based on deep learning has emerged. Compared with traditional algorithms, neural audio watermarking achieves better robustness by considering various attacks during training. However, current neural audio watermarking methods suffer from low capacity and poor imperceptibility. Furthermore, the issue of watermark locating, which is extremely important and even more pronounced in neural audio watermarking, has not been adequately studied. In this paper, we design a dual-embedding watermarking model based on an invertible neural network for efficient localization. We also consider the impact of the attack layer on the invertible neural network in robustness training, improving the model to enhance both its reasonableness and stability. Experiments show that the proposed model can withstand various attacks with higher capacity and more efficient locating ability compared with existing methods.关键词：invertible neural network;dual-embedding;synchronization code;robustness209|224|0更新时间：2025-07-15 - 摘要：Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. This paper addresses the trust issues in AI by proposing a general U-XAI (unified-trustworthy XAI) human-computer trust mechanism and technical framework, aiming to solve the eight types of trust challenges brought by the "social-technical gap" in the AI field. The framework includes four modules: trust chain governance, integrity governance, understandability governance, and acceptability governance. Combining theoretical models and technical practices, it provides a comprehensive solution for building trustworthy AI. Through the U-XAI framework proposed in this paper, the credibility of AI systems can be effectively enhanced, promoting their application and development in various social fields, and providing a practical basis and reference for the trustworthy governance of AI.关键词：explainable AI;trustworthy AI241|389|0更新时间：2025-07-15
- 摘要：In the context of globalization of the digital economy, cross border data flows face practical challenges such as compliance conflicts caused by legal differences, lack of trust among multiple parties, and difficulties in regulatory audits. This paper proposes a multi-party mutual trust mechanism for cross border data flows based on smart contracts, elaborating from four aspects: core elements of multi-party mutual mechanism, key data structures, business processes, and system architecture. Leveraging the decentralized and tamper proof nature of blockchain, it constructs a full process solution covering identity verification, compliance review, and responsibility tracing. This mechanism effectively addresses the risks of third-party trust dependency and regulatory lag in traditional models. By using technical means to transform compliance requirements into automated execution logic, it enhances the transparency and security of data flows.关键词：smart contract;cross border data flow;regulation of cross border data flow;multi-party trust mechanism231|244|0更新时间：2025-07-15
- 摘要：Digital transformation is a national major strategy. Confronting with the new situation and requirements of digital age and intelligent development, digital intelligence transformation is promoting vigorously in the field of natural resources. Combined with the policy background of the Data Security Law of the People's Republic of China and the digital economy, as well as the comprehensive digital transformation of smart cities, first, the characteristics of natural resources data were introduced. Second, the current situation and challenges of data classification and grading in the field of natural resources were analyzed. Finally, the implementation path of Beijing in improving the efficiency of natural resources data application and ensuring data security was presented, and further optimization ideas for natural resources data management and security protection were explored from the perspectives of organizational structure, institutional norms, and technical support.关键词：data security;open sharing;data classification and grading;Beijing227|224|0更新时间：2025-07-15
TOPIC
- 摘要：Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. The cloud can provide on-demand and pay-as-you-go computing resources to satisfy the users’ requirements. Currently, many organizations have deployed big data computing clusters on the cloud. These clusters are required to efficiently handle the Spark job scheduling problem so as to meet the QoS requirements of various users, such as reducing the cost of resource usage and shortening the job response time. However, most of the existing methods don’t consider the requirements of multiple users together, and fail to take into account the characteristics of Spark cluster environments and workloads. To address the above-mentioned challenge, a new Spark job scheduler based on DRL technology was designed to adapt to multiple QoS requirements by modeling the job scheduling problem of Spark clusters deployed in the cloud. A DRL cluster simulation environment was built to train the core DRL Agent of job scheduler. In the scheduling environment, training methods based on absolute deep Q-network and a combination of proximal policy optimization and generalized advantage estimation were implemented, enabling DRL agent to adaptively learn the characteristics of different types of jobs as well as the characteristics of dynamic and bursty cluster environments. This enables rational scheduling of Spark jobs to reduce the total usage cost of the cluster and shorten the average response time of jobs. Testing results of DRL Agent on the benchmark suite show that compared with other existing Spark job scheduling solutions, the newly designed DRL Agent job scheduler in this paper has significant advantages in terms of total cluster usage cost, average job response time and QoS achievement rate, which confirming the feasibility and effectiveness of the job scheduler designed in this paper.关键词：big data computing;quality of service;Spark job scheduler;cloud environment;deep reinforcement learning202|266|0更新时间：2025-07-15
- 摘要：Intent-driven network, as one of the key technologies for operation management and scheduling of computing force network, can directly convert user’s intent into deployable policies and realize flexible and efficient policy configuration, which is an important way to satisfy users’ dynamic and diversified service demands, enhance the intelligent level of scheduling and dispatching of the computing force network, strengthen the intelligent closed-loop guarantee capability, and realize the self-intelligence of the computing force network. Facing the application of intent-driven technology in computing force network, this paper designs the architecture of computing force network operation management system based on intent enhancement, gives the complete intent processing flow. At the same time, in order to achieve the accurate expression of user’s intent, a set of standard templates for describing the user’s intent is formulated, the specific components of the intent model are listed, and the typical business scenarios of computing force network are selected to give the model samples and carry out the function verification in the prototype system of computing force network brain.关键词：computing force network;intent-driven network;computing force network management and orchestration171|335|0更新时间：2025-07-15
STUDY
- Postal code：100079
- Tel：（010）53879208、53859533 Email：bdr@bjxintong.com.cn
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
- Total Visits：273110 Visits Today：16
0