Assessing the likelihood of cyber network infiltration using rare-event simulation

Assessing the likelihood of cyber network infiltration using rare-event simulation
复制标题

使用罕见事件模拟评估网络渗透的可能性

DOI:
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发表时间:
2016
期刊:
IEEE Symposium Series on Computational Intelligence
影响因子:
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通讯作者:
S. Yang
S. Yang
中科院分区:
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文献类型:
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作者:
Alexander Krall;M. Kuhl;Stephen Moskal;S. Yang

文献摘要

被引文献

相似文献

网络渗透是网络安全分析师可能感兴趣的多种网络攻击之一。对网络渗透过程中可能不常见的特定事件进行充分观察需要特殊的模拟技术。本文提出了一种应用重要性采样方法来估计网络渗透成功的可能性,前提是尚未生成足够多的网络警报来实现上述成功。在这种情况下利用重要性抽样的好处是根据标准模拟的使用进行评估的。
Network infiltration is one of many types of cyber-based attacks that may be of interest to a cyber security analyst. Sufficient observation of particular events that may be uncommon during network infiltration requires special simulation techniques. This paper presents an application of the importance sampling method to estimate the likelihood of a successful network infiltration, given that sufficiently many network alerts have not been generated to achieve said success. The benefits of utilizing importance sampling within this context are assessed against the use of standard simulation.