Dynamic and efficient vehicular cloud management scheme with privacy protection by Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG

“…The vehicular cloud (VC) formed by vehicles is used for localization processing and consumption of traffic sensing data to achieve timely intelligent traffic management.The vehicle cloud is highly dynamic, self-organizing and timely, in which the identity and location privacy of vehicle users need to be protected as this poses challenges to the vehicular cloud management.A dynamic and self-organizing vehicle cloud management scheme based on the asymmetric group key agreement protocol was designed, where the vehicle cloud is automatically formed through the self-organized group key agreement of vehicles.The group key was used to control the provision and access of vehicle cloud services, and the dynamic management of the vehicle cloud was implemented through group key update.The scheme used traceable one-time pseudonym technology to achieve anonymous authentication and conditional privacy protection of vehicle users, and the group key agreement stage only included one bilinear pair operation to achieve high efficiency.In addition, the key negotiation and update process used lightweight signatures, supporting batch verification, to achieve efficient message source authentication and integrity authentication.Then the security and efficiency of vehicle cloud communications in the self-organizing environment can be ensured.The dynamic key update mechanism of the key agreement protocol realized the dynamic joining or exiting of vehicles in the vehicle cloud, adapting to the dynamic characteristics of the vehicle cloud.Under the random oracle model and the difficult assumption of the inverse computational Diffie Hellman (ICDH) problem, it was proved that the asymmetric group key agreement scheme satisfied the selective-plaintext security.The security analysis shows that the scheme can protect the identity and location privacy of vehicle users, realize the legal tracking of malicious vehicles, and ensure the confidentiality, integrity and anti-counterfeiting of communications, as well as the forward security of vehicle cloud dynamic management.The performance comparison analysis shows that this scheme has certain advantages in communication and computing efficiency under the condition of the same function and security level.…”
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Therapeutic potential and mechanism of functional oligosaccharides in inflammatory bowel disease: a review by Xiaochun Yang, Deyong Zeng, Chongyang Li, Wenchen Yu, Guilin Xie, Yingchun Zhang, Weihong Lu

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Influence of Quantity and Quality of Bonding Phases on Strength of Iron Ore Sinters by Zhigang Que, Laixin Wang, Yinxuan Fu, Fan Gu, Jinming Shi

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A Design Method of Inland River Channel Based on Hydrodynamic Response of Ship by ZHANG Lei, FENG Shaoxiong, TAN Kun, GUO Tao, SONG Chengguo, CHU Xiumin, MIAO Yang

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Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars by Sangen Hu, Zikang Huang, Ke Wang, Haiyuan Lin, Mingyang Pei

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The microstructural evolution and relaxation strengthening for nano-grained Ni upon low-temperature annealing by Ze Chai, Bo Peng, Xukai Ren, Kaiyuan Hong, Xiaoqi Chen

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Low Carbon Operation Optimization of lntegrated Energy System with Reversible Solid Oxide Cell by LI Xin, WANG Changsheng, LI Xinyu, ZHAO Weijie, LI Yang, GUO Panfeng

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Application of Aperiodic “Einstein” Monotile in Phased Arrays With Limited Beam Scanning Range by Yunfei Qiang, Xiaochuan Fang, Rui-Xin Wu, Qian Chen, Wei Wang

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Raising public awareness on anthropogenic underwater noise by means of playful activities and serious games by Paolo Diviacco, Massimiliano Iurcev

“…The system we developed makes it possible to gradually reduce the volume of the noise and increase the volume of the sound until it becomes intelligible. The team that identifies more sounds wins. …”
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Wireless body area network: Architecture and security mechanism for healthcare using internet of things by Arun Kumar, Ritu Dewan, Wisam Subhi Al-Dayyeni, Bharat Bhushan, Jayant Giri, Sardar MN Islam, Ahmed Elaraby

“…The paper proposes an intelligent gateway-based verification and approval system to protect health data from IoT wearable devices, a key worldwide data security risk. …”
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Process analysis and multi-parameter optimization of 5052 aluminum alloy FSW based on thermo-mechanical coupling and Taguchi method by Yuanpeng Liu, Meixin Ge, Guang Zeng, Zhenghe Wang, Kun Chen, Xin Yin, Weibing Wang

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Elucidating the potential of EGFR mutated NSCLC and identifying its multitargeted inhibitors by Anakha D. Rajeeve, Ramasamy Yamuna, P. K. Krishnan Namboori

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The Preparation of C-S-H Powder Seeds and Their Effect on the Early Hydration Performance of Cement Paste by Chunlong Huang, Yiren Wang, Zhongyuan Wei, Yong Yu

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Evaluation of the practical application of the category-imbalanced myeloid cell classification model. by Zhigang Hu, Aoru Ge, Xinzheng Wang, Cuisi Ou, Shen Wang, Junwen Wang

“…This study provided an important reference for the study of bone marrow cell classification and a practical application of the model, promoting the development of the intelligent classification of AML.…”
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QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series by Tao Chen, Yang Jiao, Lei Xie, Hongye Su

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Durability and microstructure of waste slurry based geopolymer concrete by Yifan Mao, Peng Zhang, Zhen Gao, Yuanxun Zheng, Mengyuan Zheng

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Distributionally robust parameter estimation for nonlinear fed-batch switched time-delay system with moment constraints of uncertain measured output data by Sida Lin, Jinlong Yuan, Zichao Liu, Tao Zhou, An Li, Chuanye Gu, Kuikui Gao, Jun Xie

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Study on the constitutive model and thermal deformation behavior of Incoloy825/P110 bimetallic composite material by Hao Liu, Qiang Li, Hailian Gui, Chen Zhang, Sha Li, Leifeng Tuo, Jianxun Chen, Pengyue Zhang, Chunlei Shen

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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

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ViPErLEED package I: Calculation of I(V) curves and structural optimization by Florian Kraushofer, Alexander M. Imre, Giada Franceschi, Tilman Kißlinger, Erik Rheinfrank, Michael Schmid, Ulrike Diebold, Lutz Hammer, Michele Riva

“…Added functionalities include intelligent structure-dependent defaults for most calculation parameters, automatic detection of bulk and surface symmetries and their relationship, automated search procedures that preserve the symmetry and speed up convergence, adjustments to the TensErLEED code to handle larger systems than before, as well as parallelization and optimization. …”
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