实验结果表明，采用DARPA 1999年IDS评测数据集，在选定的97个待检测的攻击实例中，当保证误报率低于1%时，本方法可以达到50%以上的检测准确率。
Results show that this method can attain above 50% accurate rate with below 1% false rate in 97 specified attacking cases from DARPA 1999 IDS evaluation dataset.
减少了数据维数，加快了数据分析，提高了准确率，并能够识别新型攻击。
This method can reduce dimension of data and improve speed of data process.
误用检测技术优点是检测准确率高，缺点是依赖性强，不易移植，维护工作量大，对于未知的攻击束手无策。
The weaknesses are having strongly dependence, not easy to transplant, great maintenance work, and can not detect the unknown attack.
误用检测技术优点是检测准确率高，缺点是依赖性强，不易移植，维护工作量大，对于未知的攻击束手无策。
The weaknesses are having strongly dependence, not easy to transplant, great maintenance work, and can not detect the unknown attack.
应用推荐