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Bit vector algorithms enabling high-speed and memory-efficient firewall blacklisting
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Source ACM Southeast Regional Conference archive
Proceedings of the 47th Annual Southeast Regional Conference table of contents
Clemson, South Carolina
SESSION: Security table of contents
Article No. 22  
Year of Publication: 2009
ISBN:978-1-60558-421-8
Authors
Lane Thames  Georgia Institute of Technology, Savannah, GA
Randal Abler  Georgia Institute of Technology, Savannah, GA
David Keeling  Georgia Institute of Technology, Savannah, GA
Publisher
ACM  New York, NY, USA
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ABSTRACT

In a world of increasing Internet connectivity coupled with increasing computer security risks, security conscious network applications implementing blacklisting technology are becoming very prevalent because it provides the ability to prevent information exchange from known malicious sources. Current technology implementing blacklisting does so at the application level. However, there are numerous benefits for implementing blacklisting filters in the firewall. These benefits include reduced application workload and reduced bandwidth consumption. But, because the de facto algorithm in firewalls is based on a linear search first match principle, large blacklists are not feasible to implement in firewalls due to the O(N) timing complexity of linear search methods. This paper addresses this issue by describing techniques that solve the O(N) time complexity issue without changing the internal input-output behavior of the firewall.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Al-Shaer, E., Hamed, H. 2004. Discovery of policy anomalies in distributed firewalls. In Proceedings of the 23<sup>rd</sup> Annual Joint Conference of the IEEE Computer and Communications Societies. INFOCOM'04. vol. 4. pp. 2605--2616. IEEE.
 
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Kim, H., Kang, I. 2003. On the effectiveness of martian address filtering and its extensions. In Proceedings of the 2003 Global Telecommunications Conference. GLOBECOM'03. pp. 1348--1353. IEEE.
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Li, J., Liu, H., Sollins, K. 2003. Scalable packet classification using bit vector aggregating and folding. MIT LCS Technical Memo. MIT-LCS-TM-637. MIT Laboratory for Computer Science. Cambridge, MA.
 
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Soldo, F., Defrawy, K. Markopoulou, A. 2008. Filtering sources of unwanted traffic. In Proceedings of the 2008 Information Theory and Applications Workshop. pp. 199--208. IEEE.
 
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Collaborative Colleagues:
Lane Thames: colleagues
Randal Abler: colleagues
David Keeling: colleagues