Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network

Xiaolin Zhao; Xinyu Hou; Jingfeng Xue; Hao Xu; Long You; Quanbao Chen

doi:10.1109/ICPICS47731.2019.8942556

Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network

Xiaolin Zhao, Xinyu Hou, Jingfeng Xue, Hao Xu, Long You, Quanbao Chen

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With rapid growth in the size of software, applications' code structure becomes more complex, attacks against vulnerable points can cause huge damage. To solve this problem, this paper analyses code structure of classes, builds cooperative network at class level to describe information propagation. On the basis of class cooperative network, this paper designs a method to exclude wrong information propagation paths, uses WS small-world network to build software model, analyses data association, finds network critical paths and vulnerability points. Experiments are launched to verify the results.

Original language	English
Title of host publication	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	643-648
Number of pages	6
ISBN (Electronic)	9781728137209
DOIs	https://doi.org/10.1109/ICPICS47731.2019.8942556
Publication status	Published - Jul 2019
Event	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 - Shenyang, China Duration: 12 Jul 2019 → 14 Jul 2019

Publication series

Name	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

Conference

Conference	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019
Country/Territory	China
City	Shenyang
Period	12/07/19 → 14/07/19

Keywords

Class Collaborative Network
Complex Network
Cyberspace Security
Software Metrics
Vulnerable Points

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICPICS47731.2019.8942556

Cite this

Zhao, X., Hou, X., Xue, J., Xu, H., You, L., & Chen, Q. (2019). Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network. In 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 (pp. 643-648). Article 8942556 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPICS47731.2019.8942556

Zhao, Xiaolin ; Hou, Xinyu ; Xue, Jingfeng et al. / Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network. 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 643-648 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019).

@inproceedings{86c61657846d48919fde5e65189915c7,

title = "Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network",

abstract = "With rapid growth in the size of software, applications' code structure becomes more complex, attacks against vulnerable points can cause huge damage. To solve this problem, this paper analyses code structure of classes, builds cooperative network at class level to describe information propagation. On the basis of class cooperative network, this paper designs a method to exclude wrong information propagation paths, uses WS small-world network to build software model, analyses data association, finds network critical paths and vulnerability points. Experiments are launched to verify the results.",

keywords = "Class Collaborative Network, Complex Network, Cyberspace Security, Software Metrics, Vulnerable Points",

author = "Xiaolin Zhao and Xinyu Hou and Jingfeng Xue and Hao Xu and Long You and Quanbao Chen",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 ; Conference date: 12-07-2019 Through 14-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICPICS47731.2019.8942556",

language = "English",

series = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "643--648",

booktitle = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",

address = "United States",

}

Zhao, X, Hou, X, Xue, J, Xu, H, You, L & Chen, Q 2019, Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network. in 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019., 8942556, 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 643-648, 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019, Shenyang, China, 12/07/19. https://doi.org/10.1109/ICPICS47731.2019.8942556

Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network. / Zhao, Xiaolin; Hou, Xinyu; Xue, Jingfeng et al.
2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 643-648 8942556 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network

AU - Zhao, Xiaolin

AU - Hou, Xinyu

AU - Xue, Jingfeng

AU - Xu, Hao

AU - You, Long

AU - Chen, Quanbao

PY - 2019/7

Y1 - 2019/7

N2 - With rapid growth in the size of software, applications' code structure becomes more complex, attacks against vulnerable points can cause huge damage. To solve this problem, this paper analyses code structure of classes, builds cooperative network at class level to describe information propagation. On the basis of class cooperative network, this paper designs a method to exclude wrong information propagation paths, uses WS small-world network to build software model, analyses data association, finds network critical paths and vulnerability points. Experiments are launched to verify the results.

AB - With rapid growth in the size of software, applications' code structure becomes more complex, attacks against vulnerable points can cause huge damage. To solve this problem, this paper analyses code structure of classes, builds cooperative network at class level to describe information propagation. On the basis of class cooperative network, this paper designs a method to exclude wrong information propagation paths, uses WS small-world network to build software model, analyses data association, finds network critical paths and vulnerability points. Experiments are launched to verify the results.

KW - Class Collaborative Network

KW - Complex Network

KW - Cyberspace Security

KW - Software Metrics

KW - Vulnerable Points

UR - http://www.scopus.com/inward/record.url?scp=85077956299&partnerID=8YFLogxK

U2 - 10.1109/ICPICS47731.2019.8942556

DO - 10.1109/ICPICS47731.2019.8942556

M3 - Conference contribution

AN - SCOPUS:85077956299

T3 - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

SP - 643

EP - 648

BT - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

Y2 - 12 July 2019 through 14 July 2019

ER -

Zhao X, Hou X, Xue J, Xu H, You L, Chen Q. Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network. In 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 643-648. 8942556. (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019). doi: 10.1109/ICPICS47731.2019.8942556

Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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