Automated Risk Management Based Software Security Vulnerabilities Management

Author:

Althar Raghavendra Rao1ORCID,Samanta Debabrata2ORCID,Kaur Manjit3ORCID,Singh Dilbag3ORCID,Lee Heung-No3ORCID

Affiliation:

1. Data Science Department, CHRIST University, Bangalore, Karnataka, India

2. Department of Computer Science, CHRIST University, Bangalore, Karnataka, India

3. QMS, First American India Private Ltd., Bangalore, Karnataka, India

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP) grant

Korea government (MSIT) (Artificial Intelligence Graduate School Program

MSIT(Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program

IIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference41 articles.

1. Research on comprehending software requirements on social media;ahmad,2018

2. A systematic literature review on using machine learning algorithms for software requirements identification on stack overflow;ahmad;Secur Commun Netw,2017

3. Low-Level Software Security by Example

4. An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities

5. Introduction to Computer Network Vulnerabilities

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