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» Data Provenance in Distributed Propagator Networks
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INFOCOM
2011
IEEE
12 years 11 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
ICDCS
2006
IEEE
14 years 1 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen
VIZSEC
2005
Springer
14 years 1 months ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...
SIGCOMM
2012
ACM
11 years 10 months ago
Mirror mirror on the ceiling: flexible wireless links for data centers
Modern data centers are massive, and support a range of distributed applications across potentially hundreds of server racks. As their utilization and bandwidth needs continue to ...
Xia Zhou, Zengbin Zhang, Yibo Zhu, Yubo Li, Saipri...
SPAA
2009
ACM
14 years 5 months ago
A randomized, o(log w)-depth 2 smoothing network
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Marios Mavronicolas, Thomas Sauerwald