Research on Networked Software Abnormal Behavior Propagation

PENG Cheng; YANG Lu-ming; MAN Jun-feng

doi:10.3969/j.issn.0372-2112.2013.10.031

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Research on Networked Software Abnormal Behavior Propagation

更新时间：2025-07-16

- Research on Networked Software Abnormal Behavior Propagation
- Acta Electronica Sinica Vol. 41, Issue 10, Pages: 2074-2081(2013)
- 作者机构：
  
  1. 中南大学信息科学与工程学院,湖南,长沙,410083
  2. 湖南工业大学计算机与通信学院,湖南,株洲,412007
  3. 中南大学信息科学与工程学院,湖南,长沙,410083
  4. 湖南工业大学计算机与通信学院,湖南,株洲,412007
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.10.031
  CLC： TP302.7
- Published：2013
- 稿件说明：
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PENG Cheng, YANG Lu-ming, MAN Jun-feng. Research on Networked Software Abnormal Behavior Propagation[J]. Acta Electronica Sinica, 2013, 41(10): 2074-2081.
DOI：

PENG Cheng, YANG Lu-ming, MAN Jun-feng. Research on Networked Software Abnormal Behavior Propagation[J]. Acta Electronica Sinica, 2013, 41(10): 2074-2081. DOI： 10.3969/j.issn.0372-2112.2013.10.031.

摘要

软件中的漏洞不可避免

研究由漏洞引发的网络化软件的异常行为传播机制

为人们把握异常行为传播规律并采取相应的牵制措施提供了依据.根据异常行为在不同粒度的软件实体中传播的情形

提出了影响异常行为传播的三类因素:传播概率、交互频率和连接率

并给出了相关定义及其计算方法;结合仓室模型和个体模型及上述三因素

构建了描述软件异常行为传播过程的模型

提高了模型的表达能力

增强了模型的完备性和准确率.将异常行为传播分析方法应用于典型的网络化软件系统

通过实验计算出各参数及其变化规律

验证了该传播机制的正确性和可行性.

Abstract

Bugs in software are inevitable.The study on the networked software abnormal behavior propagation mechanism trigged by bugs provided the way for people to grasp the execution rule and to adopt corresponding pinning measurements.Based on the situation of abnormal behavior propagation at different granularity software entities

three factorspropagation probability

interactive frequency

and connection rateaffecting the abnormal behavior propagation were proposed

and the corresponding definition and calculation method were also investigated.The software abnormal behavior propagation process model was constructed in reference to the compartment model and individual models and three factors mentioned above

which improved model expression ability and enhanced the model competence and accuracy.Then

the abnormal behavior propagation analytical method was applied to the typical networked software system

and the results verified the correctness and feasibility of the propagation mechanism.

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Related Author

MAN Jun-feng

YAN Bo

WU Xiao-ping

LIAO Wei

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Related Institution

School of Information Science and Engineering Central South University Changsha Hunan China

College of Computer and Communication Hunan University of Technology Zhuzhou Hunan China

Department of Information Security, Naval University of Engineering

Department of Electronic Engineering,Beijing Electronic Science and Technology Institute

Department of Information SecurityNaval University of EngineeringWuhanHubei 430033China

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