I'm not exactly an expert, so I'm hoping you'll give me the benefit of the doubt and try very hard to make sense of this...
I've been thinking about a simple measure, which I'll call Multiple Networking, that may enable a computationally secure network. The idea is that we use multiple connection points that don't give information about each other; in other words, knowing information about one network connection won't reveal information about another network connection.
The essential framework behind this form of networking is that multiple connection points are used in some ways like a single connection. Communication is done between groups of connection points. The key element of this idea is that a third party can't gain access to all of the connection points. Then the information shared between two parties can't be accessed by a brute force computational attack, since the third party (attacker) doesn't have access to all of the information shared.
I'm wondering if techniques like this already exist. This is to help me determine my main question, "Is this a worthwhile research paper?".
Perhaps this will help explain what I'm thinking of. If you were to look at the message from inside a network, if would look like a message from A to B, a message from C to D, and a message from E to F. ONLY OUTSIDE OF THE NETWORK ARE THE MESSAGES COMBINED TOGETHER. So it looks like a group of messages, but it is really a single message. That way a third party has to figure out what messages are related in order to attack, eavesdrop, etc. The idea is that this can't be done from inside the network.
ADDENDUM I'd like to thank those below for trying to understand this. I've thought about this idea some more, and this is a lot like a message that is split apart and sent through multiple Tors. I guess the point I'm wondering about, though, is if there is a way to break up the message outside of the network. It seems to be a fatal flaw to have the message pieces traceable to a single source, even if they're routed through multiple Tor networks. This is still a work in progress, but thanks again for your patience.