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Design of Data lineage Analysis Framework Based on Multivariate Attribute Fusion

Design of Data lineage Analysis Framework Based on Multivari...

引用

Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Rui Wan Xiaohan Sun Jiaqi Zhang Yan Liang Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

With the advent of the digital age, it has become a consensus that data is an important asset, and it has become a common means to use data platform to manage and analyze data. However, in the process of enterprise data modeling or application, there are often a large number of chain reference relationships (data lineage) between data, which play an important role in data mining. How to construct more abundant data lineage and effectively carry out data lineage analysis has become one of the main challenges in data application and analysis. Therefore, this paper proposes a framework design of data lineage analysis framework based on multivariate attribute fusion. By supplementing the scope of data lineage, three-layer data lineage graphs are constructed to express different levels relationship, and various graph analysis algorithms are used to predict data lineage and reason to complete data lineage graphs, which can effectively support richer and more accurate data consanguinity applications.

关键词： Heating systems Data integrity Inspection Prediction algorithms Information age Big Data applications Data models Cognition Data mining Blood

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Research and Implementation of Log-Based Anomaly Detection Platform Based on ELK+Kafka 10

Research and Implementation of Log-Based Anomaly Detection P...

引用

10th International Conference on computer and Communications, ICCC 2024

作者： Xu, Shuai Meng, Ziyang Wang, Han China Academy of Engineering Physics Institute of Computer Application Mianyang China

Anomaly detection is vitally essential to modern large-scale distributed systems. Over the years,many log-based anomaly detection methods have been proposed. Logs record the real-time running information of processes in distributed systems and show the running status of the processes. However, when the reliability issues that happen in distributed systems, operators often inspect the logs manually with multi-rule matching and multi-keyword search. Additionally, The increasing scale and complexity of distributed systems, make the volume of logs explode, which renders the infeasibility of manual inspection. To reduce manual effort, we provide a log-based anomaly detection platform, which is based on ELK (Elasticsearch, Logstash, Kibana), Kafka and deep learning-based methods. Our proposed platform is evaluated using two different publicly-available production log datasets, and our results demonstrate that it achieves the F1-score of 0.792 and 0.829, respectively, outperforming the manually inspecting log anomalies. © 2024 IEEE.

关键词： Deep learning

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QVT-Based SysML v2 Model Version Difference Transformation

QVT-Based SysML v2 Model Version Difference Transformation

引用

Chinese Automation Congress (CAC)

作者： Chen Zhou Ling Li Qiang Ren Zixin Mu Bing Yu Baoran An Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In order to address the issue of model version incompatibility in supporting the implementation of Model-Based Systems engineering (MBSE) with SysML v2, this paper first elucidates a feasible engineering modelling method based on the SysML v2 specification. Subsequently, leveraging model transformation concepts, a v2 model version conversion method based on the QVT Relations Language is proposed. Various potential compatibility scenarios and implementation paths are meticulously analysed. On this foundation, a design scheme for program modules ensuring version full transitivity is presented. Finally, the proposed methods and programs are validated through case studies involving version conversion under two different scenarios. The results indicate that the proposed approach effectively resolves SysML v2 model version compatibility issues arising from changes in syntax or semantic patterns.

关键词： Analytical models Automation Semantics Syntactics

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A Coverage-Oriented Fuzzing Test Method for Embedded Firmware

A Coverage-Oriented Fuzzing Test Method for Embedded Firmwar...

引用

International Symposium on System and Software Reliability (ISSSR)

作者： Wansheng Yang Hairu Luo Chi Hu Fengjiao He Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350362930

ISBN: (纸本)9798350362947

When it comes to firmware vulnerability detection in embedded systems, traditional static analysis approaches struggle to capture deep-level program execution logic, resulting in unsatisfactory effectiveness. Based on common fuzzer, this paper proposes a coverage-oriented dynamic fuzzing test method called dynamic instrumentation marking coverage-based fuzzer to support simulation and test for ARM and MIPS architecture-based IoT embedded device firmware. Furthermore, two experiments were designed. One proved the fuzzer can effectively discover vulnerabilities in firmware; the other one demonstrated that compared to the AFL fuzzer, the method we proposed can generate more test samples, execute most of them and trigger more crash records.

关键词： Embedded systems Instruments Static analysis Fuzzing computer crashes Safety Security

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Permission Governance Method Based on Separation of Responsibilities

Permission Governance Method Based on Separation of Responsi...

引用

IEEE Information technology, Networking, Electronic and Automation Control Conference

作者： Xiaohan Sun Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

In complex management information systems, there are a large number of business entities, complex permission relationships, and diverse access requirements. A set of permission governance methods is needed to solve the permission problems of the system and plan for the development of business permissions. This article summarizes a security and compliance permission governance method, which involves policy mining of a large number of logs generated by information systems, checking audit permission activities, identifying permission risks, and promptly addressing permission vulnerabilities. It also summarizes the role governance and user permission governance steps based on mutual exclusion of responsibilities for information systems and related peripheral systems. Combining the business characteristics and pain point scenarios of various modules in the information system, by establishing a closed-loop management of permissions, the permission governance system can self-improve, evolve synchronously with the iteration of the business system, achieve full lifecycle management of information system permissions and security and compliance detection, and safeguard the security of business activities.

关键词： Automation Pain Management information systems Security Information technology Information systems Business

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Design of Simulation and Evaluation System for Safety Operation in High Energy Radiation Scene Based on SysML

Design of Simulation and Evaluation System for Safety Operat...

引用

International Conference on Electronic engineering and Informatics (EEI)

作者： Huai Wu Baoran An Weijian Huang Xuedong Zhang Sifeng Zeng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

With the emergence and wide application of new energy sources and technologies, various high-energy radiation devices have become indispensable core facilities and play an important role. At present, there are not only a large number of high-energy radiation devices in service, but also many have been or will enter the decommissioning stage. Aiming at the uncertainty and fuzziness of the traditional safety evaluation methods in the maintenance and decommissioning of high-energy radiation equipment, this paper designs the algorithms of task allocation, path planning and safety ergonomics evaluation for high-energy radiation equipment. Based on the system modeling language, the rationality of the system control flow is verified, and a simulation evaluation system for high-energy radiation equipment is developed to realize the comprehensive evaluation of safety operation schemes.

关键词： Uncertainty Ergonomics Process control Control systems Systems Modeling Language Path planning Safety Maintenance Resource management Informatics

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Software Defect Classification and Analysis Study

Software Defect Classification and Analysis Study

引用

Information Science, Parallel and Distributed Systems (ISPDS), International Conference on

作者： Liyuan Zheng Yang Xie Boyuan Hou Xin Xie Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

This study proposes a set of improved defect categorization criteria and analysis strategies based on a synthesis of a variety of commonly used software defect categorization methods, combined with the actual software development and testing process. By exploring the defect analysis process, this paper discusses the application of this standard in practice. Finally, basic methods and processes are proposed for software defect prevention, providing theoretical and practical guidance for quality management in the software development process.

关键词： Productivity Prevention and mitigation Standards organizations Organizations Reliability theory Software Software reliability

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A Data Constraint Analysis Method for Full-Digital Simulation Test

A Data Constraint Analysis Method for Full-Digital Simulatio...

引用

IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： Shasha Wu Shiyong Li Yanhong Peng Siyou Ma Fei Deng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350365658

ISBN: (纸本)9798350365665

At present, software testing is an effective approach to ensure and improve software quality. However, there is a lack of data dependency analysis methods for constructing full-digital test data scripts, which results in the problem that constructed test data scripts maybe hard to simulate the real-world mission scenarios of the weapon embedded software. To solve this problem, this paper clarifies the emphasis of data constraint analysis is sporadic data by analyzing the external data features of the weapon embedded software, and then proposes a data constraint analysis method based on profile and directed graph. The proposed method can complete the analysis of data constraints from coarse-grained to fine-grained efficiently. Moreover, according to the analysis results, full-digital testing test data script that can simulate the real-world mission scenarios of the software can be constructed. Experiment results have proven that the proposed method is effective and can improve analysis efficiency.

关键词： Software testing Weapons Directed graphs Software quality Software reliability Security Embedded software

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Research and Implementation of Log-Based Anomaly Detection Platform Based on ELK+Kafka

Research and Implementation of Log-Based Anomaly Detection P...

引用

International Conference on computer and Communications (ICCC)

作者： Shuai Xu Ziyang Meng Han Wang Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

Anomaly detection is vitally essential to modern large-scale distributed systems. Over the years,many log-based anomaly detection methods have been proposed. Logs record the real-time running information of processes in distributed systems and show the running status of the processes. However, when the reliability issues that happen in distributed systems, operators often inspect the logs manually with multi-rule matching and multi-keyword search. Additionally, The increasing scale and complexity of distributed systems, make the volume of logs explode, which renders the infeasibility of manual inspection. To reduce manual effort, we provide a log-based anomaly detection platform, which is based on ELK (Elasticsearch, Logstash, Kibana), Kafka and deep learning-based methods. Our proposed platform is evaluated using two different publicly-available production log datasets, and our results demonstrate that it achieves the $F_{1}$ -score of 0.792 and 0.829, respectively, outperforming the manually inspecting log anomalies.

关键词： Training Learning systems Systems operation Noise Microservice architectures Production Manuals Real-time systems Reliability Anomaly detection

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A Fuzzing Method for Embedded Bus Based on Dynamic Mutation of Message Sequences

A Fuzzing Method for Embedded Bus Based on Dynamic Mutation ...

引用

IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： Fengjiao He Chi Hu Wansheng Yang Hao Zhang Fei Deng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9798350365658

ISBN: (纸本)9798350365665

As an important support for the communication link of embedded systems, the bus protocol faces many security threats while meeting diverse business needs, and how to ensure the security of the bus link of embedded systems has become an important security issue. In order to meet the requirements of generalized security detection of embedded system bus protocols, this paper proposes a fuzzing method for embedded bus protocol based on dynamic mutation of message sequences. Based on the bus protocol specification, we model the protocol message and interaction process, and realize the fuzzing test of the protocol process in combination with the association of messages in the message sequence. At the same time, we combined the fuzzer with a timer to increase the time perception of the method. In order to verify the effectiveness of our method, this paper applies the proposed method to the CAN bus fuzzing of the Internet of Vehicles simulation platform, and successfully finds a security flaw in the process of motor speed data frame processing of the platform. Moreover, we carry out a comparative experiment with several common fuzzing tools, and the experimental results show that in the defect detection of the CAN bus of the Internet of Vehicles simulation platform, our method can increase the automatic mutation support for the interval_time field, and can discover more security defects.

关键词： Protocols Embedded systems Software algorithms Software quality Fuzzing Software reliability Security Vehicle dynamics Internet of Vehicles Defect detection

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