Edge IP Spoofing Detection With Dynamic Ingress Filtering
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Solution Overview
Problem
Existing IP spoofing prevention methods are inadequate as they are often reactive, consume excessive computational resources, fail to distinguish between legitimate and malicious traffic, and do not account for the duration of cyberattacks, leading to inefficient bandwidth usage and resource allocation.
Innovation Solution
Implementing automated logic systems on edge devices to evaluate network traffic for suspicious behavior, apply filters at ingress points, and dynamically manage filtering based on threat levels, thereby enhancing detection and reducing computational and bandwidth costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated logic systems evaluate all network traffic to identify spoofing, then detection accuracy improves, but computational resource consumption increases
Solution Approach 1:
The patent applies preliminary action by implementing automated logic systems at network ingress points to evaluate traffic before it reaches internal systems. This early detection and filtering approach prevents malicious traffic from consuming computational resources deeper in the network, thereby maintaining high detection accuracy while reducing overall computational resource consumption.
2Reliability
If security filters are applied continuously to block malicious traffic, then security reliability improves, but bandwidth utilization deteriorates
Solution Approach 1:
The patent implements dynamic filtering by continuously monitoring network traffic patterns and adjusting filter rules in real-time. The system applies filters selectively based on detected threats rather than continuously, allowing legitimate traffic to flow unimpeded while blocking malicious traffic. This dynamic approach maintains security reliability while optimizing bandwidth utilization by avoiding unnecessary filtering of legitimate traffic.
3Device complexity
If security features are applied after traffic is received, then device complexity is reduced, but response time increases
Solution Approach 1:
The patent applies preliminary action by deploying automated logic systems at network ingress points to evaluate and filter traffic before it reaches internal systems. This proactive approach reduces response time by detecting and blocking malicious traffic at the network perimeter, while the modular architecture of the automated logic systems keeps device complexity manageable through standardized evaluation rules and algorithms.
Data Source
AI summary
Examples of the present disclosure describe systems and methods for providing security against IP spoofing. In aspects, network traffic associated with one or more data requests may be received by a device in a computing environment. The network traffic may be evaluated using one or more automated logic systems or algorithms to identify suspicious or malicious behavior. The automated logic systems or algorithms may implement one or more analyses, such as asymmetric routing analysis, hardware device analysis, user and/or network behavior analysis, etc. Upon identifying suspicious or malicious behavior, the automated logic systems or algorithms may apply a filter to one or more computing devices. For example, a filter for blocking network traffic associated with the suspicious or malicious behavior may be applied to a computing device that is in close geographic and/or logical proximity to an attacking computing device.