首页> 外文期刊>Computer Communications >Efficient pattern matching algorithm for security and Binary Search Tree (BST) based memory system in Wireless Intrusion Detection System (WIDS)
【24h】

Efficient pattern matching algorithm for security and Binary Search Tree (BST) based memory system in Wireless Intrusion Detection System (WIDS)

机译:无线入侵检测系统中安全与二进制搜索树(BST)内存系统的高效模式匹配算法(WIDS)

获取原文
获取原文并翻译 | 示例

摘要

Wireless Intrusion Detection System (WIDS) has been introduced for providing enhanced security level in WLANs, owing to the numerous and potentially devastating threats against it. WIDS are software- or hardware-based. The hardware-based approaches focus on memory efficiency in pattern matching. This paper proposes a pattern matching algorithm called All-Ready State Traversal pattern matching algorithm. This algorithm constructs the state traversal machine with 1280 bytes size, and enables users to store large sized string patterns in the pattern database. The state traversal machine facilitates the easy retrieval of these patterns through the path vector. Further, the proposed work also follows a number of basic ASCII characters with 128 bytes size; and designs the memory architecture using Binary Search Tree (BST) structure. The hardware generates the addresses of input strings. State traversal machine and bits split algorithms are used to merge together the common addresses of input strings. The merged addresses are encrypted and decrypted by Blowfish algorithm to allow the valid packets and to discard the invalid packets using WIDS. Thus, the proposed algorithm provides a significant reduction in memory usage than that of Aho-Corasick algorithm.
机译:无线入侵检测系统(WIDS)已被引入用于在WLAN中提供增强的安全级别,由于众多且可能毁坏它的潜在毁灭性威胁。 Wids是基于软件或硬件的。基于硬件的方法侧重于模式匹配中的内存效率。本文提出了一种称为All-Ready遍历遍历模式匹配算法的模式匹配算法。该算法构造了具有1280字节大小的状态遍历机器,使用户能够在模式数据库中存储大型串图案。状态遍历机器通过路径向量轻松检索这些图案。此外,所提出的工作还遵循许多具有128字节大小的基本ASCII字符;并使用二进制搜索树(BST)结构设计内存架构。硬件生成输入字符串的地址。状态遍历机器和位拆分算法用于将输入字符串的公共地址合并在一起。通过Blowfish算法加密和解密合并的地址,以允许有效的数据包并使用Wids丢弃无效的数据包。因此,所提出的算法在内存使用量大的显着降低了比AHO-Corasick算法的算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号