Zero-day Attacks Detection and Mitigation using Honeypots

Konduru Easwanth Naga Narasimha , Dr. Sheetal Kalra , Neha Bagga

Zero-day attack, Log4j, EternalBlue, Heartbleed, Honeypots

Devices on internet are overwhelmed by data and requests including malicious traffic purposely directed towards the system. Various techniques have been proposed to defend against activities of malicious elements, but the major issue remains in detecting the unknown attacks like Zero-day attacks. These attacks target the zero-day exploit and give the developer no time to release the patch for the vulnerability (like Log4j, EternalBlue, Heartbleed). This leads to remote code execution and breach of integrity. The Intrusion detection system (IDS) will not be able to identify them because they are exploited through an unidentified vulnerability. These can be detected and mitigated by using Honeypots. In this paper we have proposed the implementation of Artillery Honeypot in python for identifying the breach of security by zero day attacks and successful implementation of security patched and the implementation was able to achieve an average accuracy of 88.15% in detection and mitigation of the attack.

Published Paper   E-Certificate

"Zero-day Attacks Detection and Mitigation using Honeypots ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.684 - 692, May-2024, Available :https://ijsdr.org/papers/IJSDR2405094.pdf

Volume 9 Issue 5, May-2024

Pages : 684 - 692

Paper Reg. ID: IJSDR_211361

Published Paper Id: IJSDR2405094

Downloads: 000347004

Research Area: Computer Science & Technology 

Country: Phagwara, Punjab, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405094

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405094

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition