用于大规模统一日志数据收集的 VSS 中的动态自适应机制设计与实现

IF 0.5 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zhijie Fan, Bo Yang, Jing Peng, Bingsen Pei, Changsong Zheng, Xin Li
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引用次数: 0

摘要

本文研究了信息系统大规模日志数据的采集,提出了一种大规模统一日志数据采集的动态自适应机制。此外,我们还为泛政务行业安全运行管理平台设计并实现了我们的方法。采用基于消息队列的数据流处理架构,实现了日志收集、日志处理和日志报告的解耦。采用消息队列的流量峰值剪切技术,确保日志传输的安全性和可靠性。根据日志流量的特点,提出了支持动态调整消耗组的设计模式,以满足系统的高性能要求。整个系统可满足各种安全数据的集中分析、安全威胁感知和智能分析。同时,通过与传统开源日志收集技术的分析和比较,我们提出的方法和系统具有明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Adaptive Mechanism Design and Implementation in VSS for Large-Scale Unified Log Data Collection
This paper studies the collection of large-scale log data of information system and puts forward a dynamic adaptive mechanism for large-scale unified log data collection. Furthermore, we design and implement our method for pan-government industry safety operation management platform. The data flow processing architecture based on message queue is adopted to realize the decoupling of log collection, log processing and log reporting. The traffic peak clipping technology of message queue is adopted to ensure the safety and reliability of log transmission. According to the characteristics of log traffic, a design mode supporting dynamic adjustment of consumption group is proposed to meet the high-performance requirements of the system. The whole system can meet the centralized analysis, security threat perception and intelligent analysis of various security data. Meanwhile, we analyzed and compared with the traditional open-source log collection technology, our proposed method and system has clear advantages.
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来源期刊
International Journal of Information Security and Privacy
International Journal of Information Security and Privacy COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.50
自引率
0.00%
发文量
73
期刊介绍: As information technology and the Internet become more and more ubiquitous and pervasive in our daily lives, there is an essential need for a more thorough understanding of information security and privacy issues and concerns. The International Journal of Information Security and Privacy (IJISP) creates and fosters a forum where research in the theory and practice of information security and privacy is advanced. IJISP publishes high quality papers dealing with a wide range of issues, ranging from technical, legal, regulatory, organizational, managerial, cultural, ethical and human aspects of information security and privacy, through a balanced mix of theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials. This journal encourages submission of manuscripts that present research frameworks, methods, methodologies, theory development and validation, case studies, simulation results and analysis, technological architectures, infrastructure issues in design, and implementation and maintenance of secure and privacy preserving initiatives.
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