International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 11 | Nov 2025
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
Securing the Digital Gateway: A Multi-Browser Behavioral Analytics Approach K. Sampath Kumar1, Shambhavi Sharma2, Pramod Kumar Jha3 1SRF, IT, CAS, DRDO, Hyderabad, India 2Scientist –‘B’, IT, CAS, DRDO, Hyderabad, India 3Scientist –‘G’, IT, CAS, DRDO, Hyderabad, India
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Abstract - The widespread adoption of web-based applications, coupled with the increasingly fragmented nature of user digital footprints across multiple browsers, necessitates a robust and centralized solution for comprehensive browser activity monitoring and analysis. This paper introduces a novel system designed for securing the digital gateway capable of ingesting, processing, and analysing browser data from diverse sources like Chrome, Firefox etc... This system integrates real-time threat intelligence feeds for malicious domains and phishing URLs, categorizes web visits, and provides comprehensive analytics dashboards covering security posture, activity patterns, and cross-browser comparisons. Crucially, it incorporates a sophisticated User and Entity Behavior Analytics (UEBA) module that establishes individual user baselines and proactively flags anomalous behaviors, such as out-ofhours activity or visits during non-working periods. Through its holistic approach to browser data analysis and proactive threat detection, this behavioral analytics system empowers organizations and individuals with enhanced visibility into online activity and improved capabilities for identifying and mitigating security risks. Key Words: Browser forensics, User and Entity Behaviour Analytics (UEBA), Threat intelligence, Web security, Data analytics, Anomaly detection...
1. INTRODUCTION The digital world today revolves heavily around the internet, with web browsers acting as the main gateway for work, communication, and entertainment. This makes browser data an invaluable resource, offering insights into user productivity while simultaneously exposing vulnerabilities to various Cyber threats such as phishing attacks, malware, and data leaks. Since users often switch between multiple browsers and devices, managing and securing this scattered digital footprint becomes a complex task for individuals and organizational security teams alike. Current solutions tend to fall short when it comes to providing a comprehensive view. Tools designed for specific browsers lack the ability to offer cross-platform visibility, and general security information and event management (SIEM) systems often struggle to handle the detailed and varied formats of raw browser data. For effective security, it is essential to connect user activities with known threat indicators, understand typical browsing habits, and quickly detect unusual behaviors that deviate from these patterns. In response to these challenges, we introduce a novel, all-encompassing analytics and user behavior monitoring system that works across multiple browsers. This system centralizes data collection from popular browsers like Chrome, Firefox etc.., integrating external threat intelligence sources such as URLhaus and OpenPhish to identify malicious and phishing URLs both retrospectively and in real-time. It also categorizes visited websites into meaningful groups to enhance analytical insights. The system features interactive dashboards that not only spotlight security risks such as visits to harmful sites, insecure HTTP connections, and potential token leaks but also provide detailed views of user activity, including peak browsing times, visit frequencies, comparisons among users, and browser usage trends. One of this system’s key strengths lies in its User and Entity Behavior Analytics (UEBA), which builds dynamic profiles to detect and flag abnormal browsing behaviors that stray from established baselines. This capability significantly improves the ability to identify threats proactively. Overall, this multi-browser behavioral analytics approach offers a unique integration of diverse browser data, threat intelligence, and sophisticated behavioral analytics, delivering deep visibility and actionable insights to enhance security.
2. LITERATURE SURVEY Research in browser forensics and web activity monitoring has seen considerable progress, with various tools developed to address different aspects of these fields. These tools generally fall into several categories. First, there are browser-specific
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