TY - JOUR
T1 - Designing P2P networks tolerant to attacks and faults based on bimodal degree distribution
AU - Suto, Katsuya
AU - Nishiyama, Hiroki
AU - Shen, Xuemin
AU - Kato, Nei
PY - 2012
Y1 - 2012
N2 - Recently, in contrast with the centralized networks (e.g., traditional client/server systems), the distributed networks such as Peer-to-Peer (P2P) networks and grid networks have attracted much attention due to their scalability. While the distributed networks have the advantage of allowing the node(s) to join or leave the network easily, the issue of lack of resiliency to both attacks and faults still remains. In this paper, we classify the existing distributed networks based on their degree distributions. Then, we demonstrate that they are not resilient to attacks and/or faults. For example, unstructured P2P networks, which have a power-law degree distribution, are vulnerable to attacks such as DOS. To address and resolve this issue, we propose a method to construct a network following bimodal degree distribution, which is robust to deal with both attacks and faults. Performance evaluation is conducted through computer simulations, which show that the proposed method can achieve higher resilience compared with other existing networking approaches.
AB - Recently, in contrast with the centralized networks (e.g., traditional client/server systems), the distributed networks such as Peer-to-Peer (P2P) networks and grid networks have attracted much attention due to their scalability. While the distributed networks have the advantage of allowing the node(s) to join or leave the network easily, the issue of lack of resiliency to both attacks and faults still remains. In this paper, we classify the existing distributed networks based on their degree distributions. Then, we demonstrate that they are not resilient to attacks and/or faults. For example, unstructured P2P networks, which have a power-law degree distribution, are vulnerable to attacks such as DOS. To address and resolve this issue, we propose a method to construct a network following bimodal degree distribution, which is robust to deal with both attacks and faults. Performance evaluation is conducted through computer simulations, which show that the proposed method can achieve higher resilience compared with other existing networking approaches.
KW - Attack and fault tolerance
KW - Degree distribution
KW - Overlay networks
KW - P2P networks
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U2 - 10.4304/jcm.7.8.587-595
DO - 10.4304/jcm.7.8.587-595
M3 - Article
AN - SCOPUS:84866755008
SN - 1796-2021
VL - 7
SP - 587
EP - 595
JO - Journal of Communications
JF - Journal of Communications
IS - SPL.ISS. 8
ER -