科研成果详情

题名Detect SIP flooding attacks in VoLTE by utilizing and compressing counting bloom filter
作者
发表日期2017
会议名称12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN978-3-319-60033-8
ISSN0302-9743; 1611-3349
卷号10251
页码124-135
会议日期June 19-21, 2017
会议地点Guilin, China
出版者Springer Verlag
摘要

As a new generation voice service, Voice over LTE (VoLTE) has attracted worldwide attentions in both the academia and industry. Different from the traditional voice call based on circuit-switched (CS), VoLTE evolves into the packet-switched (PS) field, which is quite open to the public. Though designed rigorously, similar to VoIP service, VoLTE also suffers from SIP (Session Initiation Protocal) flooding attacks. In this paper, two schemes inspired by Counting Bloom Filter (CBF) are proposed to thwart these attacks. In scheme I, we leverage CBF to accomplish flooding attack detection. In scheme II, we design a versatile CBF-like structure, PFilter, to achieve the same goal. Compared with previous relevant works, our detection schemes gain advantages in many aspects including low-rate flooding attack and stealthy flooding attack. Moreover, not only can our schemes detect the attacks with high accuracy, but also find out the attacker to ensure normal operation of VoLTE. Extensive experiments are performed to well evaluate the performance of the proposed two schemes. © Springer International Publishing AG 2017.

关键词CBF Count Filter SIP flooding attack
DOI10.1007/978-3-319-60033-8_12
URL查看来源
收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000446997700012
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4503
专题个人在本单位外知识产出
作者单位
1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
2.School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, 200240, China
3.The Third Research Institute of Ministry of Public Security, Shanghai, 200240, China
推荐引用方式
GB/T 7714
Wu, Mingli,Ruan, Na,Ma, Shihenget al. Detect SIP flooding attacks in VoLTE by utilizing and compressing counting bloom filter[C]: Springer Verlag, 2017: 124-135.
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