Trust-based storage in a Kademlia network infected by Sybils

R. Pecori
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引用次数: 2

Abstract

Coping with multiple false identities, also known as a Sybil attack, is one of the main challenges in securing structured peer-to-peer networks. Poisoning routing tables through these identities may make the process for storing and retrieving resources within a DHT (Distributed Hash Table) extremely difficult and time consuming. We investigate current possible countermeasures and propose a novel adaptive method for making the storage and retrieval process, in a Kademlia-based network, more secure. This is done through the use of a trust-based storage algorithm, exploiting reputation techniques. Our solution shows promising results in thwarting a Sybil attack in a Kademlia network, also in comparison with similar methods.
受Sybils感染的Kademlia网络中的基于信任的存储
应对多个虚假身份,也称为Sybil攻击,是确保结构化点对点网络安全的主要挑战之一。通过这些身份毒害路由表可能会使在DHT(分布式哈希表)中存储和检索资源的过程变得极其困难和耗时。我们研究了当前可能的对策,并提出了一种新的自适应方法,使存储和检索过程,在一个基于kademlia的网络,更安全。这是通过使用基于信任的存储算法,利用信誉技术来实现的。与类似的方法相比,我们的解决方案在阻止Kademlia网络中的Sybil攻击方面显示出有希望的结果。
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