Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1165
Title: Code Vulnerability Identification and Code Improvement using Advanced Machine Learning
Authors: Ruggahakotuwa, L
Rupasinghe, L
Abeygunawardhana, P. K. W
Keywords: Code Vulnerability
Identification
Code Improvement
Advanced Machine Learning
Issue Date: 5-Dec-2019
Publisher: IEEE
Citation: L. Ruggahakotuwa, L. Rupasinghe and P. Abeygunawardhana, "Code Vulnerability Identification and Code Improvement using Advanced Machine Learning," 2019 International Conference on Advancements in Computing (ICAC), 2019, pp. 186-191, doi: 10.1109/ICAC49085.2019.9103400.
Series/Report no.: 2019 International Conference on Advancements in Computing (ICAC);Pages 186-191
Abstract: Cyber-attacks are fairly mundane. The misconfigurations of the source code can result in security vulnerabilities that potentially encourage the attackers to exploit them and compromise the system. This paper aims to discover various mechanisms of automating the detection and correction of vulnerabilities in source code. Usage of static and dynamic analysis, various machine learning, deep learning, and neural network techniques will enhance the automation of detecting and correcting processes. This paper systematically presents the various methods and research efforts of detecting vulnerabilities in the source code, starting with what is a software vulnerability and what kind of exploitation, existing vulnerability detection methods, correction methods and efforts of best researches in the world relevant to the research area. A plugin will be developed which is capable of intelligently and efficiently detecting the vulnerable source code segment and correcting the source code accurately in the development stage.
URI: http://rda.sliit.lk/handle/123456789/1165
ISBN: 978-1-7281-4170-1
Appears in Collections:1st International Conference on Advancements in Computing (ICAC) | 2019
Department of Computer Systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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