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Novel distributed UEP rateless coding scheme for data transmission in deep space networks被引量：2
《Science China(Information Sciences)》2018年第4期81-90,共10页Shuang WU Dezhi LI Zhenyong WANG Qing GUO 
supported by National Natural Science Foundation of China(Grant Nos.61601147,61571316);Fundamental Research Funds of Shenzhen Innovation of Science and Technology Committee(Grant No.JCYJ20160331141634788)
In deep space data transmission systems, deep space networks can be constructed on different orbits, and the data from each orbit are always associated with the different reliability requirements. In this study, a nov...
关键词：deep space networks distributed rateless codes UEP encoding overhead asymptotic analysis design complexity 
Provably secure cloud storage for mobile networks with less computation and smaller overhead被引量：3
《Science China(Information Sciences)》2017年第12期175-187,共13页Rui ZHANG Hui MA Yao LU Yang LI 
supported by Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDA06010703,XDA06010701);National Natural Science Foundation of China(Grant Nos.61472416,61272478,61632020);Foundation of Science and Technology on Information Assurance Laboratory(Grant No.KJ-14-002);CREST,Japan Science and Technolegy Agency
Secure cloud storage（SCS） guarantees the data outsourced to the cloud to remain intact as it was before being outsourced. Previous schemes to ensure cloud storage reliability are either computationally heavy or admi...
关键词：secure cloud storage mobile networks homomorphic MAC domain extension applied cryptography 
Out of sight, out of mind: a distance-aware forgetting strategy for adaptive random testing被引量：1
《Science China(Information Sciences)》2017年第9期74-94,共21页Chengying MAO Tsong Yueh CHEN Fei-Ching KUO 
supported by National Natural Science Foundation of China (Grant No. 61462030);Australian Research Council Linkage Grant (Grant No. LP100200208);Natural Science Foundation of Jiangxi Province (Grant Nos. 20162BCB23036, 20151BAB207018);Science Foundation of Jiangxi Educational Committee (Grant No. GJJ150465)
Adaptive random testing （ART） achieves better failure-detection effectiveness than random testing by increasing the diversity of test cases. However, the intention of ensuring even spread of test cases inevitably ca...
关键词：adaptive random testing software testing test cases computational overhead DIVERSITY 
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