Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Kademlia: A Peer-to-Peer Information System Based on the XOR Metric
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
The impact of DHT routing geometry on resilience and proximity
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Monitoring, analyzing and characterizing lookup traffic in a large-scale DHT
Computer Communications
How many eyes are spying on your shared folders?
Proceedings of the 2012 ACM workshop on Privacy in the electronic society
| Hi-index | 0.00 |
Studying deployed Distributed Hash Tables (DHTs) entails monitoring DHT traffic. Commonly, DHT traffic is measured by instrumenting ordinary peers to passively record traffic. In this approach, using a small number of peers leads to a limited (and potentially biased) view of traffic. Alternatively, inserting a large number of peers may disrupt the natural traffic patterns of the DHT and lead to incorrect results. In general, accurately capturing DHT traffic is a challenging task. In this paper, we propose the idea of minimally visible monitors to capture the traffic at a large number of peers with minimum disruption to the DHT. We implement and validate our proposed technique, called Montra, on the Kad DHT. We show that Montra accurately captures around 90% of the query traffic while monitoring roughly 32,000 peers and can accurately identify destination peers for 90% of captured destination traffic. Using Montra, we characterize the traffic in Kad and present our preliminary results.