Anonymity in Peer-assisted CDNs: Inference Attacks and Mitigation
| Autor: | Yaoqi Jia, Zhenkai Liang, Guangdong Bai, Prateek Saxena |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Ethics
anonymity business.industry Computer science Internet privacy ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Information technology Inference 020206 networking & telecommunications 02 engineering and technology QA75.5-76.95 Computer security computer.software_genre peer-assisted cdns BJ1-1725 inference attacks Electronic computers. Computer science 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing business computer General Environmental Science Anonymity |
| Zdroj: | Proceedings on Privacy Enhancing Technologies, Vol 2016, Iss 4, Pp 294-314 (2016) |
| ISSN: | 2299-0984 |
| Popis: | The peer-assisted CDN is a new content distribution paradigm supported by CDNs (e.g., Akamai), which enables clients to cache and distribute web content on behalf of a website. Peer-assisted CDNs bring significant bandwidth savings to website operators and reduce network latency for users. In this work, we show that the current designs of peer-assisted CDNs expose clients to privacy-invasive attacks, enabling one client to infer the set of browsed resources of another client. To alleviate this, we propose an anonymous peer-assisted CDN (APAC), which employs content delivery while providing initiator anonymity (i.e., hiding who sends the resource request) and responder anonymity (i.e., hiding who responds to the request) for peers. APAC can be a web service, compatible with current browsers and requiring no client-side changes. Our anonymity analysis shows that our APAC design can preserve a higher level of anonymity than state-of-the-art peer-assisted CDNs. In addition, our evaluation demonstrates that APAC can achieve desired performance gains. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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