Traceroute Server for Encrypted Tunnel Hop Detection
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Solution Overview
Problem
Conventional traceroute tools are limited in accurately determining network performance metrics, especially when encountering encrypted tunnels and cloud-based systems, as they fail to detect network hops, packet loss, and latency, and are opaque to proxies or firewalls, leading to incomplete and inaccurate results.
Innovation Solution
The use of traceroute techniques combined with API detection for egress routers and adaptive probing with ICMP, UDP, and TCP protocols to segment network paths, cache traceroute results, and employ reverse tracing to overcome tunnel opacity, enabling comprehensive network hop detection and latency measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional traceroute tools are used to monitor network paths, then basic network visibility is provided, but accurate detection of network hops, packet loss, and latency through encrypted tunnels is lost
Solution Approach 1:
The patent introduces intermediary components including a traceroute server positioned within the tunnel infrastructure and modified traceroute clients that coordinate with this server. The intermediary server receives probe packets, tracks them through tunnel hops, and returns detailed latency and hop information that conventional tools cannot obtain through opaque encrypted tunnels.
Solution Approach 2:
The patent segments the tunnel traversal into discrete measurable hops by having the traceroute server identify and report each intermediate hop point within the tunnel. This segmentation allows measurement of latency and packet loss at each individual hop rather than treating the tunnel as a single opaque black box.
2Object-affected harmful factors
If encrypted tunnels are used to secure network traffic, then network security is improved, but traceroute tools become opaque and cannot detect network state details
Solution Approach 1:
The traceroute server acts as a trusted intermediary embedded within the tunnel infrastructure that can observe and measure traffic without breaking encryption. It receives specially formatted probe packets, tracks their journey through the tunnel hops, and returns measurement data without exposing the actual encrypted content.
Solution Approach 2:
The patent modifies the traceroute protocol parameters by using TCP protocols with specific port numbers and packet formats that are recognized by the traceroute server. This allows the probes to be distinguished from normal traffic while maintaining encryption, enabling measurement without compromising security.
3Reliability
If conventional traceroute is used to determine destination reachability, then basic connectivity is checked, but accurate latency measurement between hops is not provided
Solution Approach 1:
The traceroute server serves as an intermediary that receives probe packets from the client, forwards them through the network path, and captures return packets. By measuring the time stamps at each stage, it can calculate precise latency between individual hops and provide this detailed timing information back to the client.
Solution Approach 2:
The traceroute server performs preliminary actions by pre-positioning itself at various hop points within the tunnel infrastructure. This allows it to immediately capture and time-stamp probe packets as they pass through, enabling accurate latency measurement without adding significant processing delay.
4Adaptability or versatility
If TCP traceroute is used to trace network paths, then tunnel detection capability is improved, but the ability to read destination responses and determine complete path is lost
Solution Approach 1:
The traceroute server acts as an intermediary that can read and interpret TCP responses from destinations even when sent through encrypted tunnels. It receives the destination's TCP responses, extracts the necessary information about reachability and path completion, and communicates this back to the client without requiring the client to directly interpret encrypted or obfuscated responses.
Data Source
AI summary
Techniques for using traceroute with tunnels and cloud-based systems for determining measures of network performance are presented. Systems and methods include receiving a request, from a client, for a trace of the tunnel; causing the trace inside the tunnel; obtaining results of the trace inside the tunnel; and sending the results of the trace inside the tunnel to the client so that the client aggregates these details with details from one or more additional legs to provide an overall view of a service path between the client and a destination.


