Central Security Manager for Distributed Network Threat Detection
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Solution Overview
Problem
Conventional network protection solutions, such as firewalls, are inadequate in detecting and preventing malicious attacks from within the network, as they can be fooled or spoofed, allowing malicious software to compromise sensitive data without detection.
Innovation Solution
A central security manager collects and analyzes network data from multiple perspectives to identify potential threats in real-time, aggregating information from various endpoints and middle-points to proactively defend against attacks by distinguishing between innocent and malicious activities, and implementing defensive measures such as blocking malicious requests and denying access to attackers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If firewalls are used to control network connections, then network access is secured, but the system can be fooled or spoofed by malicious software
Solution Approach 1:
The patent introduces a proactive security system as an intermediary between the network and potential threats. This system collects data from multiple network perspectives (endpoints, middle-points), analyzes it to identify malicious behavior patterns, and coordinates defensive actions across the network. The intermediary approach allows the system to detect spoofed or fooled firewall attempts by analyzing behavior patterns rather than relying solely on connection control rules.
Solution Approach 2:
The system performs preliminary actions by continuously collecting and analyzing network data before actual malicious attacks succeed. It identifies potential threats in advance through pattern recognition, allowing the network to take preventive measures before harmful actions occur. This proactive approach enables the system to anticipate and prevent spoofing attempts rather than merely reacting to detected intrusions.
2Ease of operation
If conventional firewalls block specific ports and programs, then access control is improved, but malicious actions from internal software remain undetectable
Solution Approach 1:
The patent adds another dimension to network security by collecting data from multiple network perspectives simultaneously - including endpoints, middle-points, and various network layers. This multi-dimensional data collection enables the system to detect malicious software actions that conventional single-point firewalls miss, as the analysis aggregates information across the entire network topology to identify patterns of malicious behavior.
Solution Approach 2:
The proactive security system performs multiple functions: data collection from diverse sources, pattern analysis, threat identification, and coordination of defensive actions. This universal approach allows the system to handle both access control tasks and deep malicious software detection, replacing the limited functionality of conventional firewalls with a multi-functional security platform.
3Reliability
If real-time data collection and analysis is implemented, then threat detection capability is improved, but system complexity increases
Solution Approach 1:
The system segments the security function into distributed components at different network perspectives (endpoints, middle-points, central coordinator). Each segment collects and analyzes data locally while contributing to the overall security picture. This segmentation reduces the complexity burden on any single component and enables scalable deployment while maintaining real-time detection capability across the entire network.
Data Source
AI summary
According to some embodiments, a method and apparatus are provided to receive, at a central security manager located on a computer network, first network information from a first network resource associated with a first network perspective and receive, at the central security manager, second network information from a second network resource associated with a first network perspective. The first network information and the second network information are aggregated. A potential attack to the network is determined and a defensive measure is implemented in response to the potential attack to the network.