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International Conference on Intelligent Human Systems Integration

IHSI 2020: Intelligent Human Systems Integration 2020 pp 532–538Cite as

Software Vulnerability Mining Based on the Human-Computer Coordination

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

Abstract

In recent years, the increasing size and complexity of software packages has led to vulnerability mining gradually becoming more difficult and challenging. The theoretic research and systematic practice of traditional software vulnerability mining system emphasize models and data. Now, it gradually requires the participation of human vulnerability-miners in the mining procedure. To address the issue, from the human-center perspective, this paper holds that the role of human should be highlighted in the system building process. Aimed at solving the task of software vulnerability mining and integrating the natural intelligence of human into the system, it attempts to assign people who participate in the vulnerability-mining activities as the components of the system. This paper proposes a vulnerability mining system architecture based on human-computer coordination. Then, it designs the workflow of the vulnerability mining task based on human-computer coordination. Finally, it designs a task solving strategy based on human-computer coordination for the fuzz testing scenario.

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Acknowledgments

This work is supported by National Key R&D Program of China No. 2017YFB08029 and is supported by Sichuan Science and Technology Program No. 2018GZ0101.

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Authors and Affiliations

  1. China Electronic Technology Cyber Security Co., Ltd., Chengdu, 610041, China

    Jie Liu, Da He, Yifan Wang, Jianfeng Chen & Zhihong Rao

  2. Cyberspace Security Key Laboratory of Sichuan Province, Chengdu, 610041, China

    Jie Liu, Jianfeng Chen & Zhihong Rao

Authors
  1. Jie Liu
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  2. Da He
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  3. Yifan Wang
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  4. Jianfeng Chen
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  5. Zhihong Rao
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Corresponding author

Correspondence to Jie Liu .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Dipartimento Di Ingegneria, Edificio 25, Università di Modena e Reggio Emilia, Modena, Modena, Italy

    Alberto Vergnano

  4. Department of Mechanical and Civil Engineering, University of Modena, Modena, Modena, Italy

    Francesco Leali

  5. GRESPI, Université de Reims Champagne-Ardenne, Reims Cedex 2, France

    Redha Taiar

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Cite this paper

Liu, J., He, D., Wang, Y., Chen, J., Rao, Z. (2020). Software Vulnerability Mining Based on the Human-Computer Coordination. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_83

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