DITA HOLLMANNOVÁ
Master Thesis
The goal of this work is to propose a protocol for sharing data in a decentralized network of peers, where each node gains reputation for their actions. Information from nodes with low reputation may be discarded, while nodes with high reputation will be heard. This serves as a protection, because malicious nodes would first have to gain trust of the network before they could affect it.
There are multiple approaches to compute reputation, but they rely mostly on adherence to the protocol, uptime and other simple features. The trust model used by the Sality botnet simply measures how many “good” interactions a node had with its neighbor. There are numerous attacks that an adversary can use to gain trust of the network. In this thesis, the trust model will not only use data from the protocol itself, but also network monitoring and statistics provided by SLIPS. We will analyze different trust models and options to attack them. A new trust model that uses data from SLIPS will be proposed, and its performance will be evaluated. Finally, the model will be implemented as a module inside SLIPS, and will enable sharing said network data with other nodes running SLIPS.
Url: https://dspace.cvut.cz/handle/10467/90252