| 基于恶意代码的检测技术研究 |
| |
| 引用本文： | 沈承东,宋波敏. 基于恶意代码的检测技术研究[J]. 网络安全技术与应用, 2012, 0(4): 9-11 |
| |
| 作者姓名： | 沈承东 宋波敏 |
| |
| 作者单位： | 1. 海军计算技术研究所,北京,100841
2. 华中科技大学计算机学院,湖北,430074 |
| |
| 摘 要： | 恶意代码检测是保证信息系统安全的一个重要手段,从传统的特征码匹配到启发式检测,甚至基于神经网络的代码检测,整个检测手段在向着更加智能化更加具有自动适应能力的方向发展,检测系统也越来越具有自动分析与自动学习的能力。
|
| 关 键 词： | 代码检测 特征码识别 启发式检测 专家系统 神经网络 |
esearch of Detection Technology based on Malicious Code |
| |
| Shen Chengdong song Bomin. esearch of Detection Technology based on Malicious Code[J]. Net Security Technologies and Application, 2012, 0(4): 9-11 |
| |
| Authors: | Shen Chengdong song Bomin |
| |
| Affiliation: | Shen Chengdong song Bomin(1.Navy Institute of Computing Technology,Beijing, 100841 ,China) |
| |
| Abstract: | Malicious code detection is an important means to ensure the security of information systems.With the traditional signature matching heuristic detection,and even code detection based on neural networks,the development of the entire detection means is on the way of to be more intelligent with the ability to automatically adapt to more, and the detection system is also growing with automatic analysis and automatic learning. |
| |
| Keywords: | code detection signature recognition heuristic detection expert system neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
