Embedding Cryptographic Keys in Random Data Fields
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Solution Overview
Problem
Existing network communication protocols lack effective methods to securely establish encrypted sessions while maintaining backward compatibility with non-encrypted protocols, and they are vulnerable to reverse engineering due to the lack of secure credential hiding.
Innovation Solution
Incorporating cryptographic information into a pre-defined portion of network communications reserved for random data, allowing it to be hidden in plain sight, and using this information to establish encrypted sessions and authenticate communications, while maintaining interoperability with existing protocols by using techniques like Diffie Hellman key exchange and HMAC.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptographic information is inserted into a pre-defined portion reserved for random data, then security against reverse engineering is improved, but compatibility with existing non-encrypted protocols deteriorates
Solution Approach 1:
The patent embeds cryptographic information (such as Diffie-Hellman parameters or HMAC keys) within the pre-defined random data portion of the network communication protocol. This nesting approach allows the cryptographic credentials to be hidden within the existing protocol structure, maintaining backward compatibility while enabling secure encrypted sessions for clients that can extract and process the embedded cryptographic information.
2Reliability
If cryptographic information is embedded in plain sight within random data, then resistance to reverse engineering is improved, but detection difficulty increases
Solution Approach 1:
The patent converts the apparent randomness of the data portion into a beneficial hiding mechanism. By embedding cryptographic information within what appears to be random data, the protocol achieves both security through obscurity and actual cryptographic strength. The randomness serves as camouflage, making the cryptographic credentials difficult to detect and extract without knowing the specific protocol modifications.
Data Source
AI summary
This specification describes technologies relating to imparting cryptographic information in network communications. In general, aspects of the subject matter described in this specification can be embodied in methods that include identifying a location in a pre-defined portion of a network communication to be sent in a client-server environment, wherein the pre-defined portion is reserved for random data, inserting cryptographic information into the pre-defined portion of the network communication at the location, and sending the network communication in the client-server environment to facilitate modifying interactions in the client-server environment based at least in part on a result of processing of the cryptographic information; and on a receiving side, receiving cryptographic information inserted into the pre-defined portion of the network communication in the client-server environment, identifying the location, processing the cryptographic information, and modifying interactions in the client-server environment based at least in part on a result of the processing.