Research Article
Ensemble: Community-Based Anomaly Detection for Popular Applications
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@INPROCEEDINGS{10.1007/978-3-642-05284-2_10, author={Feng Qian and Zhiyun Qian and Z. Mao and Atul Prakash}, title={Ensemble: Community-Based Anomaly Detection for Popular Applications}, proceedings={Security and Privacy in Communication Networks. 5th International ICST Conference, SecureComm 2009, Athens, Greece, September 14-18, 2009, Revised Selected Papers}, proceedings_a={SECURECOMM}, year={2012}, month={5}, keywords={}, doi={10.1007/978-3-642-05284-2_10} }
- Feng Qian
Zhiyun Qian
Z. Mao
Atul Prakash
Year: 2012
Ensemble: Community-Based Anomaly Detection for Popular Applications
SECURECOMM
Springer
DOI: 10.1007/978-3-642-05284-2_10
Abstract
A major challenge in securing end-user systems is the risk of popular applications being hijacked at run-time. Traditional measures do not prevent such threats because the code itself is unmodified and local anomaly detectors are difficult to tune for correct thresholds due to insufficient training data.
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