Prior group-based fingerprinting achieves better detection performance when colluders are from the same group. But in digital wholesale and needs to be identified retail, the middleman as well as customers especially ...Prior group-based fingerprinting achieves better detection performance when colluders are from the same group. But in digital wholesale and needs to be identified retail, the middleman as well as customers especially against group colluding attack. The group tracing is neglected in previous works. In this paper, we propose a novel multimedia group fingerprint to trace malicious middlemen along with customers. We explore the quality of the non degenerate linear shift register sequence （NDLSRS） which is convenient in group initialization and management. The theoretic analysis and simulation experiment results show that NDLSRS has good resistance against attacks from colluding groups/ members even after its volume expanded.展开更多
Failure detection module is one of important components in fault-tolerant distributed systems,especially cloud platform.However,to achieve fast and accurate detection of failure becomes more and more difficult especia...Failure detection module is one of important components in fault-tolerant distributed systems,especially cloud platform.However,to achieve fast and accurate detection of failure becomes more and more difficult especially when network and other resources' status keep changing.This study presented an efficient adaptive failure detection mechanism based on volterra series,which can use a small amount of data for predicting.The mechanism uses a volterra filter for time series prediction and a decision tree for decision making.Major contributions are applying volterra filter in cloud failure prediction,and introducing a user factor for different QoS requirements in different modules and levels of IaaS.Detailed implementation is proposed,and an evaluation is performed in Beijing and Guangzhou experiment environment.展开更多
文摘Prior group-based fingerprinting achieves better detection performance when colluders are from the same group. But in digital wholesale and needs to be identified retail, the middleman as well as customers especially against group colluding attack. The group tracing is neglected in previous works. In this paper, we propose a novel multimedia group fingerprint to trace malicious middlemen along with customers. We explore the quality of the non degenerate linear shift register sequence （NDLSRS） which is convenient in group initialization and management. The theoretic analysis and simulation experiment results show that NDLSRS has good resistance against attacks from colluding groups/ members even after its volume expanded.
基金supported by the National High-tech Research and Development Program(863) of China under Grant No. 2011AA01A102
文摘Failure detection module is one of important components in fault-tolerant distributed systems,especially cloud platform.However,to achieve fast and accurate detection of failure becomes more and more difficult especially when network and other resources' status keep changing.This study presented an efficient adaptive failure detection mechanism based on volterra series,which can use a small amount of data for predicting.The mechanism uses a volterra filter for time series prediction and a decision tree for decision making.Major contributions are applying volterra filter in cloud failure prediction,and introducing a user factor for different QoS requirements in different modules and levels of IaaS.Detailed implementation is proposed,and an evaluation is performed in Beijing and Guangzhou experiment environment.
