An Efficient Peer-to-Peer Semantic Overlay Network for Learning Query Routing

Author(s):  
T. Yeferny ◽  
K. Arour ◽  
A. Bouzeghoub
2018 ◽  
Vol 12 (17) ◽  
pp. 2119-2131 ◽  
Author(s):  
Haizhou Wang ◽  
Xingshu Chen ◽  
Wenxian Wang ◽  
Mei Ya Chan

Author(s):  
Zoltán Czirkos ◽  
Gábor Hosszú

In this chapter, the authors present a novel peer-to-peer based intrusion detection system called Komondor, more specifically, its internals regarding the utilized peer-to-peer transport layer. The novelty of our intrusion detection system is that it is composed of independent software instances running on different hosts and is organized into a peer-to-peer network. The maintenance of this overlay network does not require any user interaction. The applied P2P overlay network model enables the nodes to communicate evenly over an unstable network. The base of our Komondor NIDS is a P2P network similar to Kademlia. To achieve high reliability and availability, we had to modify the Kademlia overlay network in such a way so that it would be resistent to network failures and support broadcast messages. The main purpose of this chapter is to present our modifications and enhancements on Kademlia.


Author(s):  
Thomas Repantis ◽  
Vana Kalogeraki

In this chapter the authors study the problems of data dissemination and query routing in mobile peerto- peer networks. They provide a taxonomy and discussion of existing literature, spanning overlay topologies, query routing, and data propagation. They proceed by proposing content-driven routing and adaptive data dissemination algorithms for intelligently routing search queries in a peer-to-peer network that supports mobile users. In the authors’ mechanism, nodes build content synopses of their data and adaptively disseminate them to their most appropriate peers. Based on the content synopses, a routing mechanism is being built, to forward the queries to those peers that have a high probability of providing the desired results. The authors provide an experimental evaluation of different dissemination strategies, which shows that content-driven routing and adaptive data dissemination is highly scalable and significantly improves resource usage.


2005 ◽  
Vol 7 (2) ◽  
pp. 72-93 ◽  
Author(s):  
Eng Keong Lua ◽  
J. Crowcroft ◽  
M. Pias ◽  
R. Sharma ◽  
S. Lim
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