中文摘要：

在 P2P (对等) 网络，一些恶意的同伴能影响全面网络性能。这些同伴的恶意的行为之一是恶意的包落下。在这份报纸，我们的焦点是检测并且排除由掉一些或所有包行为不当的同伴。这里，我们为高效地解决这个问题建议基于名声的机制。建议机制使用两个都指导名声信息和间接名声信息计算一个同伴的全面名声。同时，历史名声信息也被考虑提供容错能力，我们基于包落下的原因能是复杂的事实调整不严密。最后，有坏全面名声的同伴能容易被检测然后将从网络被排除。这样，没有增加计算开销，我们的建议机制改进 P2P 网络的性能。

英文摘要：

In P2P （Peer-to-Peer） networks, some malicious peers can impact on overall networks performance. One of the malicious behaviors of these peers is malicious packet dropping. In this paper, our focus is to detect and to exclude peers that misbehave by dropping some or all packets. Here, we propose a reputation-based mechanism for solving the problem efficiently. The proposed mechanism uses both direct reputation information and indirect reputation information to compute comprehensive reputation of a peer. At the same time, history reputation information is also taken into account to provide faults tolerance capability and we regulate the imprecision based on the fact that the cause of packet dropping can be complex. Finally, the peers with bad comprehensive reputation can be detected easily and then will be excluded from the network. In this way, our proposed mechanism improves the per- formance of P2P networks without increasing computational overhead.