信息网络安全 ›› 2014, Vol. 14 ›› Issue (10): 18-23.doi: 10.3969/j.issn.1671-1122.2014.10.004

• 技术研究 • 上一篇    下一篇

移动应用特征提取算法研究

陈逸夫, 刘吉强   

  1. 北京交通大学计算机与信息技术学院,北京 100044
  • 收稿日期:2014-06-26 出版日期:2014-10-01 发布日期:2015-08-17
  • 作者简介:

    陈逸夫(1990-),男,江西,硕士研究生,主要研究方向为网络安全;刘吉强(1972-),男,山东,博士生导师,教授,博士,主要研究方向:网络安全、安全协议设计与分析和可行计算。

  • 基金资助:
    国家自然科学基金[61462019]、广西自然科学基金[2014GXNSFAA118363]、广西可信软件重点实验室研究课题[KX201316]

Research on Signature Extraction Algorithms for Mobile Applications

CHEN Yi-fu, LIU Ji-qiang   

  1. College of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
  • Received:2014-06-26 Online:2014-10-01 Published:2015-08-17

摘要:

随着移动互联网的普及与发展,新的应用不断出现,移动互联网的网络安全和流量管理变得越来越重要,其应用监管与流量控制以移动应用识别为基础。深度包检测技术是准确性最高的一种应用层协议识别方法,其需要有准确的应用协议特征,应用特征产生的效率和准确度决定了应用识别系统的优劣。因此,高效、准确的自动提取应用特征具有十分重要的意义。文章从算法复杂性及敏感性两个方面,对当前主要特征提取算法进行比较和分析;并通过进行实验研究,分别给出了不同算法的性能仿真结果,为基于载荷的移动应用特征提取算法的选取提供了一个参考,具有一定的研究和应用指导价值。

关键词: 移动互联网, 应用识别, 特征提取, 敏感性, 复杂度

Abstract:

With the popularization and development of mobile Internet, new applications continue to emerge with wide range of application. Network security and traffic management of the mobile Internet is becoming increasingly important, and its application regulation and flow control is based on mobile application identification. Deep Packet Inspection technology is one of the highest accuracy application layer identification method, which requires accurate application protocol significances, and efficiency and accuracy of generating signatures determine the merits of identification system. Therefore, efficient and accurate automated application signatures extraction has a very important significance. In this paper, the algorithm complexity and sensitivity of the current main signatures extraction algorithms are compared and analyzed; And through experimental studies, the performance simulation results of different algorithms are given respectively, provides a reference for the selection of mobile applications signatures extraction algorithms based on the payload, and has certain guidance value of research and application.

Key words: mobile Internet, application identification, significance extraction, sensitivity, complexity

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