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Memory-efficient signature matching for ClamAV on FPGA

机译:在FPGA上为CLAMAV匹配的内存高效签名

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Signature matching is a crucial task of various security applications such as antiviruses, intrusion detections, and firewalls. The growth in quantity and complexity of signatures made matching task more challenge especially on general purpose processor. In this paper, we proposed an efficient architecture for matching Clam Antivirus (ClamAV) signatures on FPGA. We utilize Bloom filter technique for filtering input data and Bloomier filter technique for one round check suspect data. Our matching engine support up to 256 byte length signature and can handle both basic and regular expression signatures. Compare to previous approaches, our architecture is better memory utilization with 14%–64% less than previous works. Experiences on low-cost Altera Cyclone II show that our system can fit signature set with more than 43K characters size and is capable of 1 gigabit per second throughput
机译:签名匹配是各种安全应用的重要任务,如防病毒,入侵检测和防火墙。签名的数量和复杂性的增长使得匹配任务更多的挑战,特别是在通用处理器上。在本文中,我们提出了一种在FPGA上匹配CLAM防病毒(CLAMAV)签名的有效架构。我们利用Bloom滤波技术过滤输入数据和闪光滤波技术,一轮检查可疑数据。我们的匹配引擎支持高达256个字节长度签名,可以处理基本和正则表达式签名。与以前的方法进行比较,我们的架构更好的内存利用率比以前的作品低14%-64%。低成本Altera Cyclone II的经验表明,我们的系统可以使用超过43k个字符的尺寸,并且每秒吞吐量为1千兆位

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