PLD逆向分析中并行数据采集技术研究

现有的数据采集算法很难适用于较大规模的加密PLD解析。文章研究数据采集中状态加全的并行性和CPU与采集平台之间的并行性，提出了一种并行数据采集模型，通过将状态加全和搜索状态转移路径分散到多个采集设备上执行，充分利用设备资源，解决了构建状态转移图时内存不足的问题，有效降低了数据采集时间。

Research on the Parallelism of Data Collection in PLD Reverse Analysis

The algorithms of data collection available are not suitable for reverse analysis of encrypted PLD on large scale. By digging out the parallelism of state decrypting and the parallelism between CPU and collecting platform in data collection, the model for collecting data parallelly is proposed, which decrypts states and searches the path for state transition on several pieces of collecting equipment. The model makes full use of equipment resources, solves the problem that the memory is not enough to establish states transition diagram and reduces the time needed for data collection effectively.