Malware Detection in the Strategy to Solve the Problem of Unbalanced Samples
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    Abstract:

    Great changes have occurred in people's daily life and routine work due to the widely used internet technology. However, we have to face threaten from the malware. Due to this, detecting malware has received more and more attentions in recent years. Malware samples are hard to obtain. Meanwhile, it needs to cost a lot of resources. So there are less malware samples and malware detection is an imbalance problem. Imbalance problem means that the distributions of various types of training samples are imbalanced. To solve this problem, a suitable over-sampling method is employed via a reasonable increase in samples of a few samples to address imbalances.

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李瑞,李希敏,袁晓玲.恶意软件检测中解决样本不平衡问题的策略.计算机系统应用,2014,23(6):17-21

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History
  • Received:October 16,2013
  • Revised:November 11,2013
  • Adopted:
  • Online: June 20,2014
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