本文提出一种有效侦测与过滤阻断服务攻击的方法STTOPS(Sequential Testing with Tabulated Online Packet Statistics for DDos Detection),能够在一个紧密、固定尺寸的架构里使用有效的探索法监控许多网络地址。经实验证明,与TOPS相比...本文提出一种有效侦测与过滤阻断服务攻击的方法STTOPS(Sequential Testing with Tabulated Online Packet Statistics for DDos Detection),能够在一个紧密、固定尺寸的架构里使用有效的探索法监控许多网络地址。经实验证明,与TOPS相比较,STTOPS在一个标准基准数据集方面有更高的平均准确率和更低的平均误报率,且使用较少计算资源,在攻击期间不会减慢下来。展开更多
Sample size determination is commonly encountered in modern medical studies for two inde- pendent binomial experiments. A new approach for calculating sample size is developed by combining Bayesian and frequentist ide...Sample size determination is commonly encountered in modern medical studies for two inde- pendent binomial experiments. A new approach for calculating sample size is developed by combining Bayesian and frequentist idea when a hypothesis test between two binomial proportions is conducted. Sample size is calculated according to Bayesian posterior decision function and power of the most powerful test under 0-1 loss function. Sample sizes are investigated for two cases that two proportions are equal to some fixed value or a random value. A simulation study and a real example are used to illustrate the proposed methodologies.展开更多
文摘本文提出一种有效侦测与过滤阻断服务攻击的方法STTOPS(Sequential Testing with Tabulated Online Packet Statistics for DDos Detection),能够在一个紧密、固定尺寸的架构里使用有效的探索法监控许多网络地址。经实验证明,与TOPS相比较,STTOPS在一个标准基准数据集方面有更高的平均准确率和更低的平均误报率,且使用较少计算资源,在攻击期间不会减慢下来。
基金This research is supported by the National Natural Science Foundation of China under Grant Nos. 10761011, 10961026, Ph.D. Special Scientific Research Foundation of Chinese University under Grant No. 20060673002, and by program for New Century Excellent Talents in University （NCET-07-0737）.
文摘Sample size determination is commonly encountered in modern medical studies for two inde- pendent binomial experiments. A new approach for calculating sample size is developed by combining Bayesian and frequentist idea when a hypothesis test between two binomial proportions is conducted. Sample size is calculated according to Bayesian posterior decision function and power of the most powerful test under 0-1 loss function. Sample sizes are investigated for two cases that two proportions are equal to some fixed value or a random value. A simulation study and a real example are used to illustrate the proposed methodologies.
