Anomalous Behaviour and Threat Detection on Mobile Web in Safe Environment

Overview

Ensuring secure and safe browsing is a growing concern as mobile web usage increases. This proxy-like application leverages advanced machine learning techniques to identify and address anomalous behaviour and potential threats encountered during mobile web browsing. By functioning as an intermediary between the user and the internet, the application monitors user requests and web responses, delivering real-time alerts and offering customizable security controls. With its robust threat detection capabilities and daily updated global threat intelligence, the solution provides enhanced protection and empowers users to safeguard their online activities. 

Business Context

As mobile web usage grows, so does the complexity and volume of potential online threats. Users need robust solutions to detect and mitigate risks while browsing. Traditional security measures often fall short in adapting to the rapidly evolving threat landscape. This application addresses these challenges by integrating sophisticated machine learning models to monitor and analyse web traffic in real time. The result is a proactive security solution that provides users with immediate threat notifications and customizable controls, ensuring a safer online experience. 

Key Features

• Real-Time Threat Detection: Acts as a middleware proxy to intercept and analyse user requests and web responses, utilizing machine learning to detect and identify anomalous behaviour and potential threats in real time. 
• Threat Notifications: Provides instant alerts to users when suspicious activities or threats are detected during their browsing sessions, enabling prompt action to protect their devices and data. 
• Customizable Security Controls: Allows users to blacklist or whitelist specific websites or domains based on threat severity, giving them control over which sites to visit or avoid. 
• Global Threat Intelligence: Maintains an up-to-date global blacklist of domains, websites, and hosts, which is refreshed daily and synchronized with the middleware to enhance threat detection accuracy and coverage. 
• Seamless Integration: Functions as a transparent proxy, seamlessly integrating with users’ mobile web browsers without disrupting their browsing experience. 

Solution Components

• Threat Detection Engine: Utilizes machine learning models, including Deep Learning for Java (DL4J), to analyse web traffic and identify patterns indicative of malicious behaviour. 
• Real-Time Monitoring Module: Built with DropWizard and React, this module monitors and processes user requests and web responses, providing immediate feedback and notifications. 
• Blacklist Management System: Maintains a dynamic global blacklist of threats, using MongoDB to store and manage threat data, and OpenTSDB for tracking and analysing historical threat trends. 
• User Interface: Designed with React to provide an intuitive and user-friendly interface for managing security settings, viewing notifications, and customizing blacklist/whitelist preferences. 
• Data Integration and Synchronization: Employs Java to facilitate secure communication between the proxy application and threat intelligence sources, ensuring timely updates and synchronization of threat data. 

Key Technologies

• JAVA
• DropWizard
• Mongo DB
• React
• DL4J
• OpenTSDB

Benefits

• Enhanced Security: Provides real-time detection and response to potential threats, ensuring users are protected from malicious activities and vulnerabilities while browsing. 
• Customizable Protection: Empowers users with the ability to manage and control their own security settings, including blacklisting and whitelisting websites based on personal preferences and threat levels. 
• Up-to-Date Threat Intelligence: Daily updates to the global blacklist and synchronization with the middleware ensure comprehensive and current protection against emerging threats. 
• User-Friendly Experience: Seamless integration with mobile web browsers and an intuitive interface makes it easy for users to monitor, manage, and enhance their online security without disrupting their browsing experience. 

Conclusion

This solution provided by Lektik signifies a substantial advancement in mobile security, meeting the increasing demand for robust protection against sophisticated online threats. By incorporating advanced machine learning techniques and real-time monitoring, it enhances security and empowers users with customizable controls to manage their browsing safety. Its seamless integration, user-friendly interface, and up-to-date global threat intelligence ensure that users can browse confidently, knowing they are protected from potential threats. This application sets a new benchmark for mobile web security, providing a proactive and adaptable solution to meet the evolving demands of the digital landscape.

Screenshot

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