Gossip protocols have proved to be a viable solution to set-up and manage largescale
P2P services or applications in a fully decentralised scenario.
The gossip or epidemic communication scheme is heavily based on stochastic
behaviors and it is the fundamental idea behind many large-scale P2P protocols.
It provides many remarkable features, such as scalability, robustness to failures,
emergent load balancing capabilities, fast spreading, and redundancy of information.
In some sense, these services or protocols mimic natural system behaviors
in order to achieve their goals.
The key idea of this work is that the remarkable properties of gossip hold
when all the participants follow the rules dictated by the actual protocols. If one
or more malicious nodes join the network and start cheating according to some
strategy, the result can be catastrophic.
In order to study how serious the threat posed by malicious nodes can be
and what can be done to prevent attackers from cheating, we focused on a general
attack model aimed to defeat a key service in gossip overlay networks (the
Peer Sampling Service [JGKvS04]). We also focused on the problem of protecting
against forged information exchanged in gossip services.
We propose a solution technique for each problem; both techniques are general
enough to be applied to distinct service implementations. As gossip protocols,
our solutions are based on stochastic behavior and are fully decentralized.
In addition, each technique’s behaviour is abstracted by a general primitive function
extending the basic gossip scheme; this approach allows the adoptions of our
solutions with minimal changes in different scenarios.
We provide an extensive experimental evaluation to support the effectiveness
of our techniques. Basically, these techniques aim to be building blocks or P2P
architecture guidelines in building more resilient and more secure P2P services.
| Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:615 |
| Date | 16 April 2007 |
| Creators | Jesi, Gian Paolo <1975> |
| Contributors | Babaoglu, Ozalp |
| Publisher | Alma Mater Studiorum - Università di Bologna |
| Source Sets | Università di Bologna |
| Language | English |
| Detected Language | English |
| Type | Doctoral Thesis, PeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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