SSCAN:一种安全的基于CAN的语义网络

SSCAN:a secure and semantic content search network

现有的基于DHT(Distributed Hash Table)模型的P2P网络并不能很好支持语义查询,只提供针对某个关键字单一的准确查询,为了实现语义搜索,人们提出若干基于VSM的改进方案,而这些模型存在各种问题。本文首次分析了P2P中语义网络可能存在的安全问题,阐述了哈希算法和语义网络之间的固有矛盾;构建一个支持语义搜索的安全CAN网络SSCAN(Secure and Semantic CAN),设计了一种在SSCAN中进行语义搜索的算法,并对搜索性能进行评估。该模型具有安全性高,搜索高效的特点。

Existing DHT-based P2P network, which provides a query engine for only one accurate keyword, cannot support semantic content search well. Some VSM-based semantic search models are later proposed for CAN. This paper are the first to analyze the latent security challenges for semantic network in P2P and the natural conflict between Hash algorithm and semantic network. Following this, SSCAN （Secure and Semantic CAN, a CAN-based semantic network） is constructed. We propose a novel semantic search algorithm in SSCAN which is secure and efficient.