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IMC
2009
ACM
16 years 1 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
LANC
2009
ACM
158views Education» more  LANC 2009»
16 years 1 months ago
Enhancements to the opinion model for video-telephony applications
In this paper, we show how the proposed model in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications” cannot model properly the perceptual video qualit...
Jose Joskowicz, José Carlos López-Ar...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
16 years 1 months ago
Convergence of rule-of-thumb learning rules in social networks
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar
COLCOM
2008
IEEE
16 years 1 months ago
Data Quality and Failures Characterization of Sensing Data in Environmental Applications
Environmental monitoring is one of the most important sensor network application domains. The success of those applications is determined by the quality of the collected data. Thu...
Kewei Sha, Guoxing Zhan, Safwan Al-Omari, Tim Cala...
DSN
2008
IEEE
16 years 1 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
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