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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
16 years 23 days 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...
SP
2008
IEEE
285views Security Privacy» more  SP 2008»
16 years 23 days ago
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks
Decentralized distributed systems such as peer-to-peer systems are particularly vulnerable to sybil attacks, where a malicious user pretends to have multiple identities (called sy...
Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky, ...
ACSAC
2007
IEEE
16 years 23 days ago
HoneyIM: Fast Detection and Suppression of Instant Messaging Malware in Enterprise-Like Networks
Instant messaging (IM) has been one of most frequently used malware attack vectors due to its popularity. Distinct from other malware, it is straightforward for IM malware to fin...
Mengjun Xie, Zhenyu Wu, Haining Wang
ACSAC
2007
IEEE
16 years 23 days ago
Database Isolation and Filtering against Data Corruption Attacks
Various attacks (e.g., SQL injections) may corrupt data items in the database systems, which decreases the integrity level of the database. Intrusion detections systems are becomi...
Meng Yu, Wanyu Zang, Peng Liu
ACSAC
2007
IEEE
16 years 23 days ago
Improving Signature Testing through Dynamic Data Flow Analysis
The effectiveness and precision of network-based intrusion detection signatures can be evaluated either by direct analysis of the signatures (if they are available) or by using bl...
Christopher Kruegel, Davide Balzarotti, William K....