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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 2 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
ACSAC
2009
IEEE
14 years 2 months ago
Protecting Commodity Operating System Kernels from Vulnerable Device Drivers
Device drivers on commodity operating systems execute with kernel privilege and have unfettered access to kernel data structures. Several recent attacks demonstrate that such poor...
Shakeel Butt, Vinod Ganapathy, Michael M. Swift, C...
IDTRUST
2009
ACM
14 years 2 months ago
Usable secure mailing lists with untrusted servers
Mailing lists are a natural technology for supporting messaging in multi-party, cross-domain collaborative tasks. However, whenever sensitive information is exchanged on such list...
Rakeshbabu Bobba, Joe Muggli, Meenal Pant, Jim Bas...
HIKM
2006
ACM
14 years 1 months ago
A flexible approach for electronic medical records exchange
Many methodologies have been proposed in the last decade for integration and exchange of medical data. However, little progress has occurred due to the following reasons. First, p...
Vagelis Hristidis, Peter J. Clarke, Nagarajan Prab...
ACSAC
2004
IEEE
13 years 11 months ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...