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168 views 124 votes 15 years 9 months ago  ICCCN 2008»
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...
102 views 142 votes 15 years 1 months ago  TDSC 2010»
—We present an overview of end-to-end encryption solutions for convergecast traffic in wireless sensor networks that support in-network processing at forwarding intermediate node...
138 views 108 votes 15 years 8 months ago  INFOCOM 2003»
— Embedding of a graph metric in Euclidean space efficiently and accurately is an important problem in general with applications in topology aggregation, closest mirror selectio...
150 views 143 votes 15 years 3 months ago  CCS 2010»
An aggregate signature scheme is a digital signature scheme where anyone given n signatures on n messages from n users can aggregate all these signatures into a single short signa...
157 views 114 votes 15 years 7 months ago  NGC 2001»
IP multicast suffers from scalability problems for large numbers of multicast groups, since each router keeps forwarding state proportional to the number of multicast tree passing ...
188 views 259 votes 16 years 4 months ago  ICDE 2008»
Abstract-- Cisco's NetFlow Collector (NFC) is a powerful example of a real-world product that supports multiple aggregate queries over a continuous stream of IP flow records. ...
139 views 128 votes 15 years 8 months ago  SAC 2004»
XML data can be stored in different databases including ObjectRelational Database (ORDB). Using ORDB, we get the benefit of the relational maturity and the richness of OO modeling...
181 views 234 votes 16 years 3 months ago  VLDB 2007»
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
150 views 211 votes 16 years 3 months ago  SIGMOD 2006»
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
97 views 106 votes 15 years 9 months ago  ICDM 2007»
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...