Name
Title | ||
|---|---|---|
Detect Sip Flooding Attacks In Volte By Utilizing And Compressing Counting Bloom Filter |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-60033-8_12 | WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2017 |
Keywords | Field | DocType |
SIP flooding attack, CBF, Count, Filter | Bloom filter,Computer security,Computer science,Flooding attack,Computer network,Flooding (psychology),Voice over IP | Conference |
Volume | ISSN | Citations |
10251 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 11 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingli Wu | 1 | 157 | 12.82 |
| Ruan Na | 2 | 48 | 5.63 |
| Shiheng Ma | 3 | 0 | 0.68 |
| Haojin Zhu | 4 | 2196 | 124.62 |
| Weijia Jia | 5 | 2656 | 221.35 |
| Qingshui Xue | 6 | 0 | 0.68 |
| Songyang Wu | 7 | 27 | 3.43 |