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INFOCOM
2011
IEEE
14 years 1 months ago
A comparative study of two network-based anomaly detection methods
—Modern networks are complex and hence, network operators often rely on automation to assist in assuring the security, availability, and performance of these networks. At the cor...
Kaustubh Nyalkalkar, Sushant Sinha, Michael Bailey...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
13 years 5 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
NDSS
2007
IEEE
15 years 4 months ago
Army of Botnets
The trend toward smaller botnets may be more dangerous than large botnets, in terms of large-scale attacks like distributed denials of service. We examine the possibility of “su...
Ryan Vogt, John Aycock, Michael J. Jacobson Jr.
CSUR
2006
121views more  CSUR 2006»
14 years 9 months ago
A taxonomy of Data Grids for distributed data sharing, management, and processing
Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
Srikumar Venugopal, Rajkumar Buyya, Kotagiri Ramam...
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 7 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...