A trust-based method for mitigating cache poisoning in Name Data Networking
| Autor: | Jian Wang, Heekuck Oh, Zeinab Rezaeifar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Content based networking Computer Science Applications Hardware and Architecture Feature (computer vision) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing DNS spoofing business Computer network |
| Zdroj: | Journal of Network and Computer Applications. 104:117-132 |
| ISSN: | 1084-8045 |
| DOI: | 10.1016/j.jnca.2017.12.013 |
| Popis: | Mitigating Cache poisoning in Name Data Networking (NDN) can significantly improve the effect of ubiquitous data caching, which is a prominent feature in NDN. However, since verification signatures cannot be practical in the network routers, finding a suitable method to mitigate cache poisoning in NDN routers is a challenge. Therefore, in this paper, the proposed method tries to identify invalid contents by the defined parameters: popularity, negative feedback and credibility. Then, with combining these three metrics, the trust model is presented to estimate the validity of each content. Moreover, the proposed method creates an incentive among users to exchange trusted contents. Finally, the evaluation results indicate the effectiveness of the proposed method to detect invalid contents as compared to previous methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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