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CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 7 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
SOFTCOMP
2010
15 years 5 months ago
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Abstract This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time proces...
Martí Navarro, Álvaro Herrero, Emili...
ASPLOS
2004
ACM
16 years 25 days ago
Fingerprinting: bounding soft-error detection latency and bandwidth
Recent studies have suggested that the soft-error rate in microprocessor logic will become a reliability concern by 2010. This paper proposes an efficient error detection techniqu...
Jared C. Smolens, Brian T. Gold, Jangwoo Kim, Baba...
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 11 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
AAAI
2007
15 years 9 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash