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Risk balance defense approach against intrusions for network server

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Abstract

The paper presents a new defense approach based on risk balance to protect network servers from intrusion activities. We construct and implement a risk balance system, which consists of three modules, including a comprehensive alert processing module, an online risk assessment module, and a risk balance response decision-making module. The alert processing module improves the information quality of intrusion detection system (IDS) raw alerts by reducing false alerts rate, forming alert threads, and computing general parameters from the alert threads. The risk assessment module provides accurate evaluation of risks accordingly to alert threads. Based on the risk assessment, the response decision-making module is able to make right response decisions and perform very well in terms of noise immunization. Having advantages over conventional intrusion response systems, the risk balancer protects network servers not by directly blocking intrusion activities but by redirecting related network traffics and changing service platform. In this way, the system configurations that favor attackers are changed, and attacks are stopped with little impact on services to users. Therefore, the proposed risk balance approach is a good solution to not only the trade-off between the effectiveness and the negative effects of responses but also the false response problems caused by both IDS false-positive alerts and duplicated alerts.

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Acknowledgments

Yingjiu Li’s work was partly supported by SMU Office of Research under Project No. 12-C220-SMU-001/MSS11C003

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Authors and Affiliations

  1. Beijing Institute of Technology, Beijing , 100081, People’s Republic of China

    Chengpo Mu

  2. Virginia Commonwealth University, Richmond, VA , 23284, USA

    Meng Yu & Wanyu Zang

  3. Singapore Management University, Singapore , 178902, Singapore

    Yingjiu Li

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  1. Chengpo Mu
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  2. Meng Yu
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Correspondence to Chengpo Mu.

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Mu, C., Yu, M., Li, Y. et al. Risk balance defense approach against intrusions for network server. Int. J. Inf. Secur. 13, 255–269 (2014). https://doi.org/10.1007/s10207-013-0214-9

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