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Volume 23 No. 4
05 August 2018

Baohua Huang, Xiaolu Cheng, Caixia Huang, Wei Cheng

2018, 23(4): 377-388.   doi:10.26599/TST.2018.9010016
Abstract ( 135 HTML ( 0   PDF(1246KB) ( 96 )   Save

Keeping Vehicular Ad hoc Network (VANET) from attacks requires secure and efficient distribution of information about bad entities. Negative messages are pieces of information that define the negative attributes of vehicles. By formally defining the negative message, we observe that accuracy is essential for its efficient distribution. We formally define the coverage percentage and accurate coverage percentage to describe the availability and distribution efficiency of negative message. These...

Zaobo He, Yingshu Li, Ji Li, Kaiyang Li, Qing Cai, Yi Liang

2018, 23(4): 389-395.   doi:10.26599/TST.2018.9010037
Abstract ( 78 HTML ( 0   PDF(264KB) ( 92 )   Save

Privacy preserving data releasing is an important problem for reconciling data openness with individual privacy. The state-of-the-art approach for privacy preserving data release is differential privacy, which offers powerful privacy guarantee without confining assumptions about the background knowledge about attackers. For genomic data with huge-dimensional attributes, however, current approaches based on differential privacy are not effective to handle. Specifically, amount of noise ...

Fan Wu, Wang Yang, Runtong Chen, Xinfang Xie

2018, 23(4): 419-430.   doi:10.26599/TST.2018.9010046
Abstract ( 112 HTML ( 0   PDF(1084KB) ( 96 )   Save

With the increasing utilization of High-Speed Trains (HSTs), the need for a reliable and high-bandwidth Internet access under high-speed mobility scenarios has become more demanding. In static, walking, and low mobility environments, TCP/IP (transmission control protocol/Internet protocol) can work well. However, TCP/IP cannot work well in high-speed scenarios because of reliability and handoff delay problems. This is mainly because the mobile node is required to maintain the connection to th...

Di Liu, Chuanhe Huang, Xi Chen, Xiaohua Jia

2018, 23(4): 431-439.   doi:10.26599/TST.2018.9010042
Abstract ( 100 HTML ( 0   PDF(1216KB) ( 101 )   Save

In Future Space-Terrestrial Integrated Networks (FSTINs), mobility is the norm rather than the exception, the current TCP/IP architecture is not competent. As a promising future network architecture, Named Data Networking (NDN) can support content consumer mobility naturally, but the content producer mobility support remains a challenging problem. Most previous research simply considered this problem in terrestrial scenarios, which involve stable infrastructures to achieve node mobility manag...

Gongming Zhao, Liusheng Huang, Ziqiang Li, Hongli Xu

2018, 23(4): 440-452.   doi:10.26599/TST.2018.9010084
Abstract ( 84 HTML ( 0   PDF(958KB) ( 94 )   Save

In recent years, Software-Defined Networks (SDNs) have become a promising technology to improve network utilization. However, limited flow table size and long deployment delays may result in low network performance in large-scale networks and a poor user experience. While a typical solution to this issue is routing aggregation (i.e., wildcard routing), the aggregation feasibility problem and reduced network performance may be encountered. To address this dilemma, we first design a novel wildc...

Xuefeng Yan, Xiangwen Feng, Chengbo Song, Xiaolin Hu

2018, 23(4): 463-478.   doi:10.26599/TST.2018.9010035
Abstract ( 77 HTML ( 0   PDF(682KB) ( 91 )   Save

Particle Filter (PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy, sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big...

Jianjiang Li, Peng Wei, Shaofeng Yang, Jie Wu, Peng Liu, Xinfu He

2018, 23(4): 501-510.   doi:10.26599/TST.2018.9010107
Abstract ( 99 HTML ( 0   PDF(857KB) ( 99 )   Save

Kinetic Monte Carlo (KMC) is a widely used method for studying the evolution of materials at themicrocosmic level. At present, while there are many simulation software programs based on this algorithm, most focus on the verification of a certain phenomenon and have no analog-scale requirement, so many are serial in nature. The dynamic Monte Carlo algorithm is implemented using a parallel framework called SPPARKS, but it does not support the Embedded Atom Method (EAM) potential, which is commo...