Ting Zhi

TL;DR: A Reputation Value based Early Detection (RVED) mechanism to relieve the impact of the collusive attack of the consumer-provider collusive attacks and adjusts the packet dropping rates of different interfaces based on their reputation value to protect the legitimate packets from being dropped as possible.

TL;DR: An IFA detection mechanism based on the support vector machine (SVM), which can detect the IFA timely and accurately and a Jensen–Shannon-divergence-based malicious Interest prefix recognition mechanism that can help the network to resist the I FA accurately and effectively is proposed.

TL;DR: A content popularity prediction algorithm based on auto-regressive (AR) model that derives regression parameters based on least-squares estimates and predicts future trends of the content popularity through combining various known values in a certain period is proposed.

TL;DR: A new intra-network cache replacement strategy, which integrates evaluating the popularity of caching contents and the betweenness of the nodes in the network topology is proposed, which realizes the best performance of cache replacement in thenetwork by weighing the importance of each node and the cache content popularity within the domain.

TL;DR: In this article, a resource adaptation resolution server DDoS attack detection defense method in a smart collaborative network is presented, which comprises the following steps: when a data packet transmission condition in the smart collaborative networks conforms to a connection migration condition, migrating the connection between a network component and the resource allocation resolution server toa cache server, and connecting the cache server to the resource adaptation resiliency server, receiving and caching a service request packet sent to the RRS server by the network component by the cache servers, and detecting whether the resource adaption resolution server is subjected to