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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

DEVELOPMENT OF AEOSARS: AN AI ENHANCED OFFLINE SECURITY AUDIT REPORTING SYSTEM FOR AIR GAPED CYBERSECURITY ENVIRONMENTS

KAVITHA C SASHWATH Y NITHISH M GUNASEKARAN V

Sri Ramakrishna Engineering College

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

The AI Enhanced Offline Security Audit Reporting System (AEOSARS) is a desktop application that automates the lengthy task of technical vulnerability reporting. Unlike traditional deep exploitation scanners, this system targets flaws in configuration files and system logs. It combines a rule-based detection engine with audit reports while keeping data secure in sensitive environments. This paper explains the system's "Chain of Evidence" chunking architecture and how it effectively reduces the time cybersecurity analysts spend on manual reporting.

Index Terms: Cybersecurity Audit, Offline AI, Rule-Based Detection, Security Reporting Automation, Air-Gapped Systems, Vulnerability Evidence.

How to Cite this Paper

C, K., Y, S., M, N. & V, G. (2026). Development of AEOSARS: An AI Enhanced Offline Security Audit Reporting System for Air Gaped Cybersecurity Environments. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.192

C, KAVITHA, et al.. "Development of AEOSARS: An AI Enhanced Offline Security Audit Reporting System for Air Gaped Cybersecurity Environments." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.192.

C, KAVITHA,SASHWATH Y,NITHISH M, and GUNASEKARAN V. "Development of AEOSARS: An AI Enhanced Offline Security Audit Reporting System for Air Gaped Cybersecurity Environments." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.192.

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References

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[9] J. Kim and Y. Lee, "AI-assisted cybersecurity analysis for automated security auditing systems," Journal of Information Security and Applications, vol. 60, pp. 102870, 2021.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 10 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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