1Assistant Professor, K L University, India
Email: bhupati@kluniversity.in
2Email: gyaneshgagan@gmail.com
3Email: mukeshbba321@gmail.com
4Email: poojithparavathaneni@gmail.com
The proliferation of cyber threats on web-based applications is increasing exponentially, which prompts the need to develop defensive mechanisms that are not limited to the conventional approaches to security. In the current paper, the innovative web-based honeypot system is proposed to effectively capture, analyse, and remedy cyber-attacks against e-commerce sites in real time. The suggested solution uses a two-architecture design that will combine an interactive honeypot through functional e-commerce interface and a smart security monitoring back end. In contrast to traditional honeypot platforms that only contain attack records, our platform has the adaptive threat mitigation concept manifested by multi-layered security measures such as smart IP blocking, user-based threat associations, and pattern analysis of behaviour. It implements a special blocking mechanism, which is threshold-based and that examines traffic patterns of multiple users with the same IP addresses and thus isolating use of legitimate shared networks and coordinated attack vectors. The capture of real-time data is completed with detailed logging of all the unsuccessful logins, SQL injection, cross scripting and the brutality attacks and all heads are time stamped and recorded in a NoSQL data set to be done with the advanced analytics. The implementation shows that we have achieved detection and mitigation of a number of attack vectors such as credential stuffing, brute force authentication attacks, session hijacking attacks, and web application exploits. This has been shown experimentally to have a 98.7% correctness on recognizing malicious traffic and non-malicious user behaviour, with an average threat detection latency of 127 milliseconds. The architecture provides horizontal scalability so that the system can be deployed in a distributed environment and has a centralized aggregation of threat intelligence. The study can contribute to the field of cybersecurity by providing a production-oriented honeypot framework that will close the gap between passive threat observability and active defence controls.
Keywords: Honeypot Systems, Real-time Threat Detection, Cyber Attack Mitigation, Web Application Security, Brute Force Detection, Intrusion Prevention Systems, E-commerce Security, Behavioural Analysis, Threat Intelligence, Adaptive IP Blocking.
How to cite this article: Bhupati C, Gyanesh S, Kumar DM, Vardhan PP. A Web Based Honeypot System Framework to Capture and Mitigate Cyber Attacks. Int J Drug Deliv Technol. 2026;16(6s): 968-975; DOI: 10.25258/ijddt.16.6s.126
Source of support: None
Conflict of interest: None