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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
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| Paper Title: | Design and Development of an Automated Steganography-Based Detection Tool for Hidden Malicious Content in Digital Images |
| Authors Name: | Deepika Manepalli , Sai Bhavani Chandaluru , Varun Teja Pirati , Koteswararao Kandula , Abhignitha Gudela |
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IJRTI_211794
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| Published Paper Id: | IJRTI2604302 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The increasing use of digital images across online platforms has led to a growing threat of steganography, where malicious data is concealed within image files to evade conventional security systems. This paper presents a Steganography Detection System designed to detect hidden data embedded in images downloaded from multiple sources, utilizing a dual-engine architecture that combines a Heuristic Engine based on classical detection methods and an AI Enhanced Engine leveraging advanced machine learning techniques, with all analysis performed within an isolated sandbox virtual environment to ensure safe and self-contained processing. The system employs seven detection algorithms — Least Significant Bit (LSB) Analysis, Discrete Cosine Transform (DCT) Analysis, Gradient Entropy Analysis, Metadata Analysis, File Signature Exploration, Hash Chain Verification, and HMAC Signature Verification — working in parallel to achieve comprehensive detection coverage, while detected stego images are quarantined and managed through user-controlled actions including force download or permanent deletion, with all scan events and outcomes recorded in a tamper-evident audit log for full traceability. |
| Keywords: | Sandbox Virtual Environment, Quarantine, Audit Log, Image Security |
| Cite Article: | "Design and Development of an Automated Steganography-Based Detection Tool for Hidden Malicious Content in Digital Images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c242-c253, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604302.pdf |
| Downloads: | 000205509 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604302
Registration ID:211794
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c242-c253 Country: Vijayawada, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604302 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604302 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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