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作 者:刘学婷 台文鑫 周帆[1] 王永 陈凯[2] LIU Xueting;TAI Wenxin;ZHOU Fan;WANG Yong;CHEN Kai(School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China;Department of Computer Science and Engineering,The Hong Kong University of Science and Technology,Hong Kong 999077,China;Zhengzhou Aiwen Tech Co.,Ltd.,Zhengzhou 450047,China)
机构地区:[1]电子科技大学信息与软件工程学院,四川成都610054 [2]香港科技大学计算机工程学院,中国香港999077 [3]郑州埃文科技有限公司,河南郑州450047
出 处:《通信学报》2025年第4期33-48,共16页Journal on Communications
基 金:国家自然科学基金资助项目(No.62176043,No.62072077);四川省自然科学基金资助项目(No.2022NSFSC0505)。
摘 要:IP地理定位在推断网络空间实体位置方面具有关键作用,广泛应用于通信系统优化、金融风险防控和网络拓扑测绘等领域。针对近20年IP地理定位领域的研究论文进行系统总结,分析各类技术的特点、优势与局限性,并深入调研实际应用场景和潜在发展方向。通过构建综合性IP地理定位技术体系框架,整合不同方法与范式,重点分析目前存在的问题,旨在为后续研究提供理论与方法论的支持,推动IP地理定位技术进一步发展和创新性应用。IP geolocation plays a critical role in determining the locations of cyberspace entities and is widely applied in important fields such as communication system optimization,financial risk prevention,and network topology mapping.The research papers in the field of IP geolocation over the past 20 years were reviewed systematically,the characteristics,advantages,and limitations of various approaches were analyzed,while exploring practical application scenarios and potential future development directions.The first comprehensive framework for IP geolocation technologies was also established in this review,different methods and paradigms were taxonomized,while the current challenges in accurate,trustworthy,and robust IP geolocations were analyzed.The goal is to provide theoretical and methodological support for future research,thereby promoting the further development and innovative applications of IP geolocation technologies.
关 键 词:网络空间实体 IP地理定位 数据挖掘 基准点分析 网络时延测量 机器学习 深度学习
分 类 号:TN393[电子电信—物理电子学]
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