Needle in a Haystack : Mitigating Content Poisoning in Named-Data Networking

@inproceedings{Ghali2014NeedleIA,
  title={Needle in a Haystack : Mitigating Content Poisoning in Named-Data Networking},
  author={Cesar Ghali},
  year={2014}
}
Named-Data Networking (NDN) is a candidate next-generation Internet architecture designed to address some limitations of the current IP-based Internet. NDN uses the pull model for content distribution, whereby content is first explicitly requested before being delivered. Efficiency is obtained via routerbased aggregation of closely spaced requests for popular content and content caching in routers. Although it reduces latency and increases bandwidth utilization, router caching makes the network… CONTINUE READING
Highly Cited
This paper has 58 citations. REVIEW CITATIONS
34 Citations
14 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 34 extracted citations

58 Citations

01020'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 58 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Needle in a Haystack: Mitigating Content Poisoning in Named-Data Networking

  • Tree Topology Cesar Ghali, Gene Tsudik, Ersin Uzun
  • SENT
  • 2014

Snort Project , The . Snort : The open source network intrusion detection system

  • P. Mahadevan A. Afanasyev, I. Moiseenko, E. Uzun, L. Zhang
  • Proceedings of the IFIP Networking Conference
  • 2013

A survey of information - centric networking

  • C. Dannewitz Ahlgren, C. Imbrenda, D. Kutscher, B. Ohlman
  • 2012

Similar Papers

Loading similar papers…