摘要
社交网络中的Sybil攻击行为已经变得越来越难以识别,因此如何有效的检测社交网络中的Sybil攻击行为,进而设计相应的防御方案来避免网络遭受攻击,已经成为当下网络安全领域研究的热点.相应的Sybil攻击检测技术也在不断的研究中得到发展和完善.文章对近年来Sybil攻击识别技术的研究动态和最新进展进行了综述,对其使用的检测方法和评价指标进行了分析比较,并对社交网络中的Sybil识别技术的发展趋势和应用前景进行了预测.
The Sybil attack in social network has become more and more difficult to detect,so it has been a hot spot of current network security to detect Sybil attack in social network effectively and design the corresponding defense scheme to avoid network attack.The corresponding Sybil attack detection technology has also been developed and improved in the following researches.This paper has been review the research trends and the latest progress of Sybil attack identification technology in recent years,analyzes the detection methods and compares the evaluation indicators,then the development trend and application prospect of Sybil attack detect technology in social network are predicted.
作者
樊卫昌
Fan Weichang(Nanjing University of Posts and Telecommunications,School of communication and information engineering,Naiying,210003)
出处
《信息通信》
2020年第2期22-23,27,共3页
Information & Communications
基金
国家“十三五”预研基金项目(31513010202)
中国航空工业集团公司创新基金(2010BD63111)。
关键词
Sybil攻击识别技术
图论
监督学习
半监督学习
无监督学习
Sybil attack detect technology
graph theory
supervised learning
semi-supervised learning
unsupervised learning
