Real-Time Cyber Defense Plugin for Web Behavior Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cybersecurity solutions are inadequate in preventing cyber attacks, particularly from new unknown viruses, as they rely on outdated methods like port and protocol restrictions or virus signature scanning, which are cumbersome to set up and cannot prevent unknown threats, and lack a holistic approach.
Innovation Solution
A universal security module (USM) that performs real-time analysis of user behavior on web servers, providing keyless encryption, identity access control, and access list management, using AI/ML for advanced authentication and anomaly detection to protect against ransomware, malware, and viruses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If firewalls restrict communication ports and protocols to block virus intrusions, then security protection is improved, but system complexity and user setup difficulty increase
Solution Approach 1:
The system performs automated behavioral analysis and security rule generation without requiring user intervention. The security module autonomously monitors user behaviors, analyzes patterns, and implements protection measures, eliminating the need for users to manually configure firewall rules and security policies.
Solution Approach 2:
The patent replaces traditional mechanical firewall rule configuration with AI-based behavioral analysis. Instead of manually setting port and protocol restrictions, the system uses machine learning algorithms to automatically detect malicious behaviors and implement security controls based on observed patterns.
2Measurement precision
If antivirus software scans virus-infected files using characteristic codes, then detection capability is improved, but response time to new viruses worsens
Solution Approach 1:
The system performs preliminary behavioral monitoring and analysis before viruses become widespread. By continuously observing user behaviors and establishing baseline patterns, the system is prepared to detect and respond to new viruses immediately upon their appearance, rather than waiting for signature updates.
Solution Approach 2:
The system implements continuous feedback loops where user behaviors are monitored, analyzed, and used to update security models in real-time. This feedback mechanism enables the system to adapt to new virus patterns dynamically, maintaining high detection accuracy without requiring manual signature database updates.
3Adaptability or versatility
If comprehensive security monitoring is implemented to detect all threats, then security coverage is improved, but processing time and system resource consumption increase
Solution Approach 1:
The system applies different levels of monitoring intensity to different user behaviors and contexts. Instead of uniformly analyzing all activities, it focuses computational resources on suspicious or high-risk behaviors while using lighter monitoring for normal activities, thereby maintaining comprehensive coverage with optimized resource usage.
Solution Approach 2:
The system performs full behavioral analysis only when necessary, using partial monitoring for routine activities and excessive (comprehensive) analysis only for suspicious patterns. This selective approach ensures thorough security coverage while avoiding unnecessary processing overhead for benign operations.
Data Source
AI summary
A solution to the problems caused by malicious attacks directed at web sites is provided. A system includes a processor of a security server node connected to at least one web server node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to execute a universal security module (USM) configured to: monitor behavior of users visiting web sites provided by the web server node; and perform real-time analysis of the monitored behavior to execute an Identity Access Control and Access List Management.