Abstract
In the past decades, the Internet usage has increased dramatically. For the network security, the network packet filtering is an important strategy to identify malicious network packets. However, malicious attacks spread much faster than network administrators can respond. The software-only implementations of filter are unlikely to meet the performance goals. Therefore, we develop a novel GPGPU-based parallel packet classification approach by adopting bloom filter to inspect the packet payload by leveraging the computation power of GPGPU. The experiment results present that the proposed algorithm can be significantly enhanced the performance of filtering packets. According to the experimental results, the proposed method can achieve over 5.4 times speed up over the sequential bloom filter on single CPU.
Original language | English |
---|---|
Title of host publication | Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1843-1847 |
Number of pages | 5 |
ISBN (Electronic) | 9781479989362 |
DOIs | |
State | Published - 23 11 2015 |
Event | 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States Duration: 24 08 2015 → 26 08 2015 |
Publication series
Name | Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 |
---|
Conference
Conference | 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 |
---|---|
Country/Territory | United States |
City | New York |
Period | 24/08/15 → 26/08/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- GPU
- Hash
- Network
- Packet Classfication
- Parallel Computing