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)
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ISBN | 978-3-319-60033-8 |
ISSN | 0302-9743; 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 |
DOI | 10.1007/978-3-319-60033-8_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 | |
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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