Automatic Software Vulnerability Analysis through a Multi-Head Attention and Long Short-Term Memory Approach-Reference-Cited by-同舟云学术

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Automatic Software Vulnerability Analysis through a Multi-Head Attention and Long Short-Term Memory Approach

Published:2024-02-23 Issue: Volume:5 Page:1-4
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
Short-container-title:

Author:

Lande Jayapal¹,N P Tejaswini²,Al-Jawahry Hassan M.³,P L Lekshmy⁴,Sridevi Mulagundla⁵

Affiliation:

1. SR University,School of Computer Science and Artificial Intelligence,Warangal,India

2. Nitte Meenakshi Institute of Technology,Department of ISE,Bengaluru,India

3. The Islamic University,Najaf,Iraq

4. LBS Institute of Technology for Women,Department of CSE,Trivandrum,India

5. CVR College of Engineering,Department of CSE,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10499176.pdf?arnumber=10499176

Reference11 articles.

1. Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review

2. DeepWukong

3. Application of XGBoost model for early prediction of earthquake magnitude from waveform data

4. Software vulnerability prediction: A systematic mapping study

5. VulRepair: a T5-based automated software vulnerability repair

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