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Software vulnerability prioritization using vulnerability description

Author

Listed:
  • Ruchi Sharma

    (Netaji Subhas University of Technology (Formerly NSIT))

  • Ritu Sibal

    (Netaji Subhas University of Technology (Formerly NSIT))

  • Sangeeta Sabharwal

    (Netaji Subhas University of Technology (Formerly NSIT))

Abstract

Whenever a vulnerability is detected by the testing team, it is described based on its characteristics and a detailed overview of the vulnerability is given by the testing team. Usually, there are certain features or keywords that points towards the possible severity level of a vulnerability. Using these keywords in the vulnerability description, a possible estimation of the severity level of vulnerabilities can be given just by their description. In this paper, we are eliminating the need for generating a severity score for software vulnerabilities by using the description of a vulnerability for their prioritization. This study makes use of word embedding and convolution neural network (CNN). The CNN is trained with sufficient samples vulnerability descriptions from all the categories, so that it can capture discriminative words and features for the categorization task. The proposed system helps to channelize the efforts of the testing team by prioritizing the newly found vulnerabilities in three categories based on previous data. The dataset includes three data samples from three different vendors and two mixed vendor data samples.

Suggested Citation

  • Ruchi Sharma & Ritu Sibal & Sangeeta Sabharwal, 2021. "Software vulnerability prioritization using vulnerability description," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 58-64, February.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:1:d:10.1007_s13198-020-01021-7
    DOI: 10.1007/s13198-020-01021-7
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    References listed on IDEAS

    as
    1. Ruchi Sharma & R. K. Singh, 2018. "An Improved Scoring System for Software Vulnerability Prioritization," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 33-43, Springer.
    2. Misbah Anjum & Vernika Agarwal & P. K. Kapur & Sunil Kumar Khatri, 2020. "Two-phase methodology for prioritization and utility assessment of software vulnerabilities," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 289-300, July.
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    Cited by:

    1. Daniel Adu-Gyamfi & Albert Kofi Kwansah Ansah & Gabriel Kofi Armah & Seth Alornyo & Dominic Kwasi Adom & Fengli Zhang, 2022. "Towards bitcoin transaction anonymity with recurrent attack prevention," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1-17, August.

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