一种面向Linux内核模块的内存检错方法

为了方便发现特定内核模块中隐藏的内存访问错误,本文设计了一个面向Linux内核模块的内存检测框架KMMemcheck。该框架使用可选择性影子内存方法记录内核模块中动态分配的内存块信息,结合二进制分析技术解析内存访问指令,然后借助影子内存提供的信息判断内存访问是否合法。从而解决了内核自带检测工具不能独立、高效地检测特定内核模块内存访问错误的问题。实验结果表明,相比内核自带内存检测工具,KMMemcheck显著地降低了对系统I/O吞吐率的影响。

堆溢出的防范策略

堆溢出攻击是对系统具有致命威胁的一种攻击手段,随着对堆溢出的研究的逐步深入,更多的堆溢出漏洞被不断发现。为了防范这类攻击,提出修改编译器的方法,防范在应用程序上的堆溢出,并在IA32处理器上,基于GCC实现了这种方法。实验表明,该方法可有效的防范堆溢出攻击。

Aware conflict detection of non-uniform memory access system and prevention for transactional memory

Most transactional memory (TM) research focused on multi-core processors, and others investigated at the clusters, leaving the area of non-uniform memory access (NUMA) system unexplored. The existing TM implementations made significant performance degradation on NUMA system because they ignored the slower remote memory access. To solve this problem, a latency-based conflict detection and a forecasting-based conflict prevention method were proposed. Using these techniques, the NUMA aware TM system was presented. By reducing the remote memory access and the abort rate of transaction, the experiment results show that the NUMA aware strategies present good practical TM performance on NUMA system.