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Jamal Khudair Madhloom, Zainab Hammoodi Noori, Sif K. Ebis, Oday A. Hassen and Saad M. Darwish
Due to the Internet?s explosive growth, network security is now a major concern; as a result, tracking network traffic is essential for a variety of uses, including improving system efficiency, fixing bugs in the network, and keeping sensitive data secur...
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Bochuan Hou, Yang Xin, Hongliang Zhu, Yixian Yang and Jianhua Yang
Vehicle ad-hoc network (VANET) is interconnected through message forwarding and exchanging among vehicle nodes. Due to its highly dynamic topology and its wireless and heterogeneous communication mode, VANET is more vulnerable to security threats from mu...
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Xinyang Deng, Tianhan Gao, Nan Guo, Jiayu Qi and Cong Zhao
Privacy disclosure has become a key challenge in vehicular ad hoc networks (VANETs). Although IEEE, ERSI, etc. suggest that a pseudonym-based scheme is a solution, how to support pseudonym management and vehicle authentication is still an open issue. In ...
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Christian Moya and Guang Lin
The Deep Operator Network (DeepONet) framework is a different class of neural network architecture that one trains to learn nonlinear operators, i.e., mappings between infinite-dimensional spaces. Traditionally, DeepONets are trained using a centralized ...
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Hyo-Gon Kim, Sung-Jo Yun, Young-Ho Choi, Jae-Kwan Ryu and Jin-Ho Suh
Recently, unmanned surface vehicles (USV) are being actively developed. For USVs to be put to practical use, it is necessary to secure safety by preventing collisions with general ships. To this end, USVs must avoid opposing vessels based on internationa...
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