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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | AI Driven Cloud Honeypot Network |
| Authors Name: | Vaishnavi Chavan , Yuvraj Dudhal , Aniket Patil , Akash Wavhal , Shilpa vishwabrahma |
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| Author Reg. ID: |
IJRTI_207410
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| Published Paper Id: | IJRTI2511082 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | This study presents the development and implementation of an intelligent cloud-based honeypot system designed to enhance cybersecurity through advanced threat detection and analysis. The proposed system uses machine learning algorithms to create a dynamic deception environment that attracts, captures, and analyses malicious activities targeting cloud infrastructure. The system architecture integrates containerized honeypot deployment with comprehensive data collection and analysis capabilities. By utilizing cloud-native services and scalable infrastructure, the honeypot maintains realistic system emulation while ensuring proper isolation from production environments. The research addresses critical challenges in cloud security by providing organizations with actionable threat intelligence and early warning capabilities. The adaptive nature of the system allows continuous learning from attacker behaviour, improving detection effectiveness over time while minimizing false positives. |
| Keywords: | Cybersecurity, Artificial Intelligence, Cloud, Honeypot, Virtual machines |
| Cite Article: | "AI Driven Cloud Honeypot Network", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a702-a704, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511082.pdf |
| Downloads: | 000240 |
| ISSN: |
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: IJRTI2511082
Registration ID:207410
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a702-a704 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511082 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511082 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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