About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
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

Download(Requires a free EAI acccount)
675 downloads
Cite
BibTeX Plain Text
  • @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
Copyright © 2009–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL