The Parallelization of Computations for Ensuring Information Security in Connected Vehicle Systems Using Q-Effective Programming: The Example of Dijkstra’s Algorithm

Mikhail P. Sokolov, Pavel A. Manatin, N. Zyulyarkina
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Abstract

This work researches the possibility of applying the concept of a Q-determinant for the parallelization of calculations in the implementation of algorithms to ensure the security of information in systems of connected vehicles. The increasing complexity of connected vehicle systems increases the computational complexity of algorithms used to identify vulnerable nodes in such systems. This requires finding an effective approach to the parallelization of calculations. As an example, Dijkstra’s algorithm is used to search for vulnerable nodes in a network of connected vehicles. The method of designing effective programs based on a Q-determinant concept is described. The results of an experimental study of the developed programs conducted on the "Tornado SUSU" supercomputer are presented. The research makes it possible to conclude that a Q-determinant concept is an effective approach to parallelizing Dijkstra’s algorithm.
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基于q -有效规划的互联汽车信息安全并行化计算——以Dijkstra算法为例
这项工作研究了在实现算法中应用q行列式概念进行并行计算的可能性,以确保联网车辆系统中的信息安全。联网车辆系统的复杂性日益增加,增加了用于识别此类系统中脆弱节点的算法的计算复杂性。这需要找到一种有效的方法来并行化计算。作为一个例子,Dijkstra算法用于搜索联网车辆网络中的脆弱节点。描述了基于q行列式概念设计有效程序的方法。介绍了在“龙卷风”超级计算机上对所开发程序进行的实验研究结果。研究表明,q -行列式概念是并行化Dijkstra算法的有效方法。
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