Ensemble: Community-Based Anomaly Detection for Popular Applications

Feng Qian; Zhiyun Qian; Z. Mao; Atul Prakash

Security and Privacy in Communication Networks. 5th International ICST Conference, SecureComm 2009, Athens, Greece, September 14-18, 2009, Revised Selected Papers

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

Feng Qian¹^,*, Zhiyun Qian¹^,*, Z. Mao¹^,*, Atul Prakash¹^,*

1: University of Michigan

*Contact email: fengqian@umich.edu, zhiyunq@umich.edu, zmao@umich.edu, aprakash@umich.edu

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.

Published: 2012-05-25

: http://dx.doi.org/10.1007/978-3-642-05284-2_10

Ensemble: Community-Based Anomaly Detection for Popular Applications

Abstract

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