Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP
- Title
- Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP
- Creator
- Althar R.R.; Samanta D.; Kaur M.; Alnuaim A.A.; Aljaffan N.; Aman Ullah M.
- Description
- Security of the software system is a prime focus area for software development teams. This paper explores some data science methods to build a knowledge management system that can assist the software development team to ensure a secure software system is being developed. Various approaches in this context are explored using data of insurance domain-based software development. These approaches will facilitate an easy understanding of the practical challenges associated with actual-world implementation. This paper also discusses the capabilities of language modeling and its role in the knowledge system. The source code is modeled to build a deep software security analysis model. The proposed model can help software engineers build secure software by assessing the software security during software development time. Extensive experiments show that the proposed models can efficiently explore the software language modeling capabilities to classify software systems' security vulnerabilities. 2021 Raghavendra Rao Althar et al.
- Source
- Computational Intelligence and Neuroscience, Vol-2021
- Date
- 2021-01-01
- Publisher
- Hindawi Limited
- Coverage
- Althar R.R., Data Science Department, CHRIST Deemed to Be University, Karnataka, Bangalore, India, QMS, First American India Private Ltd., Karnataka, Bangalore, India; Samanta D., Department of Computer Science, CHRIST Deemed to Be University, Karnataka, Bangalore, India; Kaur M., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea; Alnuaim A.A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O. Box 22459, Riyadh, 11495, Saudi Arabia; Aljaffan N., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O. Box 22459, Riyadh, 11495, Saudi Arabia; Aman Ullah M., Department of Computer Science and Engineering, International Islamic University Chittagong, Chittagong, Bangladesh
- Rights
- All Open Access; Green Open Access; Hybrid Gold Open Access
- Relation
- ISSN: 16875265; PubMed ID: 34987569
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Althar R.R.; Samanta D.; Kaur M.; Alnuaim A.A.; Aljaffan N.; Aman Ullah M., “Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/15948.