I’ve been studying some of the technical aspects of MaidSafe and am intrigued about the so called google attack possibility. I know a lot has been written about this so forgive me if smth similar has already been answered on this forum.
But from what I understand the number of copies stored by MaidSafe of any single chunk of information is fixed at around 4. Regardless of the likelihood of the google attack, what if this paramater could be chosen by the user depending on data’s perceived value?
To keep it simple, if I store very sensitive stuff, cannot rely on local copies (say I move around a lot or my entire business and apps rely on Maidsafe), I choose to allocate say 10 or 20 times more of my own diskspace than I myself use, expecting a similar ratio of my redundancy (so its 10:1 or 20:1 as opposed to 4:1). So technically my donated storage/usage ratio becomes the insurance rate for my data. There could be sensible limits on this, but in general, the user would get to balance the level of safety against the necessary storage donated, and also the speed of transactions, as higher redundancy would probably slow things down. There could be recommended settings and sweetspots for various applications and uses (or maybe even a fixed ratio “insurance groups” like normal, safe, very safe, insanely safe etc. ), but in general, leaving this for the public to tweak could maybe increase the perceived value/safety and deter attackers, as there would be no fixed or observable redundancy threshold at which the network fails.
Again, since I’m fairly new to this place, forgive me if this has perhaps been discussed.
Btw, to introduce myself a little more, we are a small tech company involved in neural network currency market prediction, blockchain stuff (we’ve built an alternative wallet for BitShares) and are now looking for alliance with a decentralized DB vehicle to host one of our biggest projects. Hence my question is of a somewhat business nature - as if I underwrite my clients data safety with my business, I would like to fully understand worst case scenarios and how are they addressed.