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High-Throughput Low-Power Variable Rate Network Intrusion Detection System Using Unique SRAM Controller

机译:使用独特的SRAM控制器的高通量低功率可变速率网络入侵检测系统

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Network intrusion detection system (NIDS) is a major research area for security mechanism. In recent years, the demand for digital systems in network field increase due to the development of 4G technology and high network traffic rate. In this paper, we propose a bit-based pattern matching algorithm with unique SRAM architecture for parallel processing. To reduce the bit transitions during matching process state encoded finite-state machines (FSMs) were used which the main core in the pattern is matching process, where a number of states remain constant over pattern length. To avoid synchronization problem over variable rate pattern match unique controllers are used which is driven by adaptive digital phase locked loop (ADPLL). The functionality is proved through the test bench simulation using Modelsim and power efficiency is verified using FPGA synthesis. In this work, memory size requirements are reduced by 8 times with an early detection scheme and the overall throughput rate is attained in the range of 13 Gbps. Finally, the dynamic power consumption is greatly reduced by 7% through gated logic.
机译:网络入侵检测系统(NIDS)是安全机制的主要研究领域。近年来,由于4G技术的发展和高网络流量,对网络领域中的数字系统的需求不断增加。在本文中,我们提出了一种基于位的模式匹配算法,该算法具有独特的SRAM体系结构,可用于并行处理。为了减少匹配过程中的位转换,使用了状态编码的有限状态机(FSM),其模式的主要核心是匹配过程,其中多个状态在模式长度上保持恒定。为了避免在可变速率模式匹配上出现同步问题,使用了由自适应数字锁相环(ADPLL)驱动的唯一控制器。通过使用Modelsim的测试平台仿真证明了该功能,并通过FPGA综合验证了电源效率。在这项工作中,采用早期检测方案将内存大小要求降低了8倍,并且总吞吐率达到了13 Gbps。最后,通过门控逻辑,动态功耗大大降低了7%。

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