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» Attack detection in time series for recommender systems
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WIDM
2005
ACM
13 years 12 months ago
Preventing shilling attacks in online recommender systems
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...
IPPS
2007
IEEE
14 years 20 days ago
Recurrent neural networks towards detection of SQL attacks
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
Jaroslaw Skaruz, Franciszek Seredynski
SP
2009
IEEE
123views Security Privacy» more  SP 2009»
14 years 1 months ago
DSybil: Optimal Sybil-Resistance for Recommendation Systems
Recommendation systems can be attacked in various ways, and the ultimate attack form is reached with a sybil attack, where the attacker creates a potentially unlimited number of s...
Haifeng Yu, Chenwei Shi, Michael Kaminsky, Phillip...
BMCBI
2005
120views more  BMCBI 2005»
13 years 6 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
IEAAIE
2003
Springer
13 years 11 months ago
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...