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Abstract
HoneyShield serves as a lightweight system for intrusion detection and monitoring. It relies on honeypots to spot malicious activities. The setup simulates a vulnerable environment and captures what attackers do in real time. Those deceptive endpoints look real enough to draw in attackers. They end up doing things like reconnaissance or trying to log in or run commands. Every move gets logged as a structured event. Then a dynamic model scores the risk and sorts it into low, medium, or high categories. Administrators get a boost in awareness from the real-time alerts. Those pop up as visual warnings whenever high-risk stuff shows up. The frontend feels intuitive for keeping an eye on sessions. You can check timelines of events or download the full chains of interactions. It uses a modular build with React up front and Python in the back. Simplicity and clear analysis come first in the design. Tests in experiments prove it catches odd patterns reliably. Things like repeated failed logins or weird file grabs or commands without permission stand out. Overall, HoneyShield shows how these honeypots traps help with early detection in today's security setups. Categories and Subject Descriptors C.2.0 — Computer-Communication Networks: Security and protection C.2.3 — Network Operations: Network monitoring, Network management D.4.6 — Operating Systems: Security and Protection – Invasive software, Access controls K.6.5 — Management of Computing and Information Systems: Security and protection K.4.4 — Computers and Society: Electronic surveillance, Security I.5.4 — Pattern Recognition: Applications – Anomaly detection, Behavior analysis General Terms Security, Design, Reliability, Experimentation, Measurement, Performance, Verification
Keywords
Honeypot, Intrusion Detection System (IDS), Cybersecurity, Deception Technology, Threat Monitoring, Risk Scoring, Attack Behavior Analysis, Network Security, Event Logging, Real-Time Alerting, HoneyShield.
Citations
IRE Journals:
Anuj Antil, Shivam Kumar, Shakti Arora "HoneyShield - Real-Time Honeypot Monitoring & Alert System" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 2043-2049 https://doi.org/10.64388/IREV8I9-1718981
IEEE:
Anuj Antil, Shivam Kumar, Shakti Arora
"HoneyShield - Real-Time Honeypot Monitoring & Alert System" Iconic Research And Engineering Journals, 8(9) https://doi.org/10.64388/IREV8I9-1718981
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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