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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yi-Hsuan Feng Nen-Fu Huang Chia-Hsiang Chen |
| Copyright Year | 2011 |
| Abstract | Network-based URL filtering (NUF) is one of the most widely used tools for detecting and stopping malicious and unwanted web traffic, like preventing children from sex. However, currently the conventional techniques still suffer from high bandwidth consumption due to millions of URL analysis requests to the network servers per day. In this paper, a model of NUF using a novel multi-level counting bloom filter (MLCBF) is proposed to address this issue. In the gateways of NUF, MLCBF is used to cache the analysis results from the network server to accelerate web traffic, alleviate the server load, and reduce bandwidth consumption of the entire NUF service. Analysis and trace-based experiments are employed to explore the properties of MLCBF and evaluate its performance in NUF. The results show that the proposed scheme typically eliminates at least 90% of memory requirements as compared to a general hashing table solution. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 430056 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612842325 |
| ISSN | 15503607 |
| e-ISBN | 9781612842332 |
| e-ISBN | 9781612842318 |
| DOI | 10.1109/icc.2011.5963090 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Logic gates Network servers Filtering Engines Fingerprint recognition Load modeling Radiation detectors |
| Content Type | Text |
| Resource Type | Article |
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