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操作系统和型号的多样性给手持设备杀毒软件研发带来了诸多问题。鉴于手持设备操作系统的规模及内存容量的限制,文中提出将Snort技术应用于手持设备安全领域。由于Snort是一个基于Libpcap的轻量级入侵检测系统,所以文中所研究的用以增强手持设备信息安全的系统模型命名为轻量型手持设备入侵检测系统。限于手持设备平台的特殊性,在优化模式匹配算法与匹配规则相结合的基础上设计了系统模型。
The diversity of operating systems and models poses a number of problems for the development of anti-virus software for handheld devices. In view of the limitation of operating system size and memory capacity of handheld devices, this paper proposes to apply Snort technology in the field of handheld device security. Because Snort is a lightweight intrusion detection system based on Libpcap, the system model studied in this paper to enhance the information security of handheld devices is named as lightweight handheld intrusion detection system. Due to the particularity of the handheld device platform, the system model is designed based on the combination of the optimized pattern matching algorithm and the matching rule.