LAN Man-in-the-Middle Attack Detection via Network Settings Comparison
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Solution Overview
Problem
Existing network security systems fail to effectively detect man-in-the-middle attacks on local area networks, where unauthorized devices intercept data transmissions by spoofing network settings, leading to potential data breaches.
Innovation Solution
A system that includes a processor and memory to check and compare network settings information associated with a network router, using methods such as spoof DHCP requests and traceroute commands to detect discrepancies, and trigger countermeasures like logging, notifications, and ARP cache poisoning to mitigate attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network security systems use traditional monitoring methods, then they maintain basic network operation, but they fail to detect man-in-the-middle attacks
Solution Approach 1:
The system performs preliminary actions by checking network settings information (MAC addresses, IP addresses, router identifiers) before attacks can succeed. By continuously monitoring these immutable network parameters in advance, the system establishes a baseline of legitimate network configurations, enabling early detection of spoofing attempts before they can compromise data transmissions.
Solution Approach 2:
The system implements feedback mechanisms by comparing current network settings information against previously stored legitimate values. When discrepancies are detected (such as mismatched MAC addresses or altered router identifiers), the system provides immediate feedback through attack detection and triggers countermeasures, creating a closed-loop security system that continuously learns and adapts to network conditions.
2Reliability
If the system implements comprehensive attack detection and countermeasures, then network security is enhanced, but system complexity increases
Solution Approach 1:
The system extracts and monitors only the critical immutable network settings information (MAC addresses, IP addresses, router identifiers) necessary for detecting man-in-the-middle attacks. By focusing on these specific, essential parameters rather than monitoring all network traffic and settings, the system achieves effective attack detection while maintaining manageable complexity levels.
Solution Approach 2:
The system performs self-service by automatically detecting attacks through comparison of network settings and autonomously executing countermeasures without requiring constant human intervention. The system can identify spoofing attempts, generate alerts, and implement protective actions independently, reducing the operational complexity burden on network administrators while maintaining high security standards.
3Reliability
If the system monitors network settings continuously, then attack detection reliability improves, but processing overhead increases
Solution Approach 1:
The system extracts and monitors only the essential immutable network settings parameters (MAC addresses, IP addresses, router identifiers) required for detecting man-in-the-middle attacks. By focusing on these specific, critical data points rather than analyzing all network traffic, the system achieves reliable attack detection while minimizing processing overhead and energy consumption.
Solution Approach 2:
The system applies partial monitoring by continuously checking only the specific immutable network settings parameters necessary for attack detection, rather than performing exhaustive analysis of all network communications. This selective approach provides sufficient detection capability for man-in-the-middle attacks while avoiding the excessive processing demands that would result from comprehensive traffic analysis.
Data Source
AI summary
Apparatuses, methods, systems, and program products are disclosed for detecting man-in-the-middle attacks on a local area network. A method includes checking a first set of network settings information associated with a network router. A method includes requesting a second set of network settings information corresponding to the first set of network settings information. A method includes detecting a man-in-the-middle attacker on the network in response to at least a portion of the second set of network settings information not matching the first set of network settings information. A method includes triggering a countermeasure action related to the man-in-the-middle attacker.