Dandelion cryptocurrency
Fluff Phase The diffusion process is the start of the Fluff phase. This phase marks the distribution of the transaction that happens normally in a blockchain network. Although the transaction is in public domain now, but it becomes very difficult to find out which route it took to get to this propagation phase. Mapping it back to the original node becomes extremely challenging since the initial phase was muddled with random Passovers.
Comparing it to a normal transaction where it spreads out publicly to peers from a single point, with dandelion protocol the transaction takes a quiet path across randomly chosen nodes to finally end up diffusing the data from multiple peers all across the network. To address this problem the developers of the Dandelion project published an update May. It has specifically addressed issues on the broadcast protocols of a Crypto blockchain network.
So far it seems to be working as promised. The ease of network layering solution presented by the Dandelion protocol makes it much more simpler to assimilate with the existing networks. Working on these lines Zcoin XZC became the second digital coin after Bitcoin recently to implement the Dandelion protocol to its network as an added security solution.
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The idea for Dandelion came from 3 researchers at the Univestity of Illinois at Urbana-Champaign and was published on a peer reviewed paper dated early There are legal concerns about the Dandelion scheme. In some jurisdictions it does not matter whether a host did not originate a transaction, if its purpose is illegal then authorities can go after the last hop seen and accuse them of originating the transaction.
It would then shift the responsibility of not forwarding unknown transactions to individual nodes who, because of this kind of legal implication, could start to refuse to run Dandelion-enabled nodes. It is worthy of note that this risk exists with broadcast transactions as well. The difference being that Dandelion would single out one hop for scrutiny, rather than a group of nodes. Technical concerns have also been raised. For instance, what if the one of the initial stem phase nodes drop out of the network just as a transaction was received?
In the broadcast model, several nodes receive the initial transaction, making it less likely that the data is lost. But in a Dandelion transaction, there is a stream of single nodes in the path before the transaction is broadcast. If any of these nodes drop the transactions, it is lost for good until the client times out and retransmits. Comments and ideas may be sent to the Univestity of Illinois at Urbana-Champaign team who are actively researching and developing Dandelion.
The process has been called Dandelion because the propagation of the transaction resembles the dandelion flower at the end of maturation. First, there is the search for a proxy node through a special linear path the stem of the flower , then the spread from this proxy node quickly and symmetrically the fluffy part that contains the seeds. If Dandelion is used by all nodes in the network, it proves to resist the spying of a botnet of nodes behaving as passive observers.
But what if the network is not composed only of honest nodes using Dandelion? Some nodes may not follow the rules and generate any number of outgoing connections to honest or contradictory nodes. Each time the node creates its own transaction, it sends it to one of these two relays, and each time it receives a transaction from another node for forwarding during the stem phase it randomly sends it to one of the two new relay connections. At any given time, a node is randomly classified as either a relay or a speaker.
If a node is a diffuser, each time it is given a transaction to be transmitted in the stem phase it transmits it using diffusion. In addition, there is a fail-safe mechanism, whereby a timer is triggered when a node transmits a transaction during the stem phase. If during that time the node does not receive the transaction back in the spreading phase, it starts one of its own. The reason for this is that malicious nodes may discard transactions during the stem phase rather than forward them in a black hole attack.
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