Endpoint Identity Obfuscation Through Traffic Blending and Path Randomization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional network security measures are inadequate in preventing unauthorized analysis and tracking of network traffic, particularly in sensitive operations, as they do not effectively obscure the identity and relationships of network nodes.
Innovation Solution
A system that leverages advanced techniques to blend network traffic into common internet traffic patterns, using a computing device with a processor, abstraction layer, and virtual private cloud to dynamically manage and obscure client connection attributes, employ multi-layered encryption, and randomize routing paths to prevent identification of network nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional network security measures are used to protect communication reliability and data integrity, then data security is improved, but network traffic patterns and node identities remain detectable and traceable
Solution Approach 1:
The system dynamically changes the 'color' or characteristics of network traffic by randomly selecting from multiple available paths, protocols, and packet formatting options. This makes the traffic appear as common background internet traffic rather than distinctive sensitive communications, preventing detection and tracking of node identities while maintaining data security
Solution Approach 2:
The system introduces an intermediary layer that sits between the application and network layers, acting as a traffic shaper and path selector. This intermediary randomly chooses from multiple available paths and modifies traffic characteristics, making it difficult to trace communications back to original nodes while preserving the underlying secure communication
2Difficulty of detecting and measuring
If network traffic is encrypted and routed through multiple paths to prevent tracking, then node identity protection is improved, but network complexity and processing overhead increase
Solution Approach 1:
The system implements a multi-functional component that handles path selection, packet formatting, protocol variation, and traffic shaping all within a single network interface layer. This universal approach prevents tracking through multiple mechanisms while avoiding the complexity of separate dedicated systems for each function
Solution Approach 2:
The system dynamically changes multiple parameters of network traffic including path selection, protocol types, packet sizes, timing intervals, and formatting options. By varying these parameters randomly, the system prevents tracking without requiring complex dedicated systems, as the changes can be implemented through software-based configuration
3Adaptability or versatility
If client connection attributes are dynamically updated on a non-linear schedule to enhance security, then unpredictability is improved, but processing overhead and resource consumption increase
Solution Approach 1:
The system updates client connection attributes according to a non-linear periodic schedule rather than continuously or at fixed intervals. This periodic updating provides security unpredictability by changing attributes at variable intervals while consuming less processing energy than continuous updates would require
Solution Approach 2:
The system dynamically adjusts connection attributes such as IP addresses, port numbers, and protocol selections based on current network conditions and security requirements. This dynamic adaptation provides unpredictability for security while allowing the system to optimize resource usage based on actual needs rather than using fixed high-overhead configurations
Data Source
AI summary
The disclosed system discussed herein may include systems and methods for endpoint identity and relationship obscuration. One or more client connection attributes may be received. The one or more client connection attributes may be determined by an abstraction layer of a network based on network traffic associated with the network and one or more common connection attributes stored in a database. One or more network settings may be determined based on the one or more client connection attributes. A plurality of encryption keys may be determined based on the one or more network settings. One or more data packets may be encrypted based on the plurality of encryption keys. The one or more encrypted data packets may be transmitted to a plurality of network nodes based on the one or more network settings.