Natural Language Processing for Documentation Analysis to Identify Outdated Security Practices

Author(s)	Sandeep Phanireddy
Country	United States
Abstract	NLP technology is fundamental to the examination of source code comments, construction files, and documentation in order to update obsolete security measures. NLP can be utilized to report and mark security practices deemed obsolete through NER, sentiment analysis, and contextual embeddings. Constructed security documentation include outdated configurations and suggestions which pose a risk to the organization’s security if they are not routinely refreshed. This paper discusses the application of NLP in the analysis of cybersecurity documentation, provides applicable examples, and analyzes the research questions and prospects in this area.
Keywords	Natural Language Processing, (NLP)Security Documentation Analysis, Outdated Security Practices, Code Comments and Config Files, Automated Compliance Detection
Field	Engineering
Published In	Volume 4, Issue 1, January-February 2022
Published On	2022-01-04
DOI	https://doi.org/10.36948/ijfmr.2022.v04i01.38291
Short DOI	https://doi.org/g86xrj

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research