Decarbonization Transportation: Evaluating Role of Cyber Security in Transportation sector based on Neutrosophic Techniques in a Climate of Uncertainty

Abstract

Recently, transport systems that produce low levels of carbon emissions have emerged as an essential component of several nations' goals for achieving sustainable development. These systems also play a very significant role in the process of developing low-carbon cities. On the other hand, the safety of low-carbon modes of transport has been put in jeopardy in several different ways. For instance, 
assaults that result in a denial of service present a significant danger to the networks that connect electric cars to the grid. Several different strategies for defending against these dangers have been developed to lessen their impact. However, these strategies are only applicable to certain kinds of situations or assaults. Therefore, the purpose of this paper is to examine the security element from a holistic approach, present an overview of the obstacles and future directions of cyber security technologies in low-carbon transportation, and overcome such challenges. To begin, the low-carbon transport services are positioned in this article based on the idea of low-carbon transport and the significance of low-carbon transport. After that, using the network's design and the manner of 
communication as a lens, this article defines the common threats posed by attacks on the network. An additional consideration is given to the associated defensive technologies as well as the pertinent security recommendations, this time from the point of view of data security, network management security, and network application security. To improve this notion of safeguarding the gride and 
communication, it is necessary to evaluate ability of network against sniffing and spoofing or from any various methods of attacks. This motivates the study to employ Multi- Criteria Decision Making (MCDM) entailed in entropy for weighting the benchmarks which employed in Combined Compromise Solution (CoCoSo) toward obtaining optimal intelligent transportation systems (ITrSs) 
through ranking various ITrSs. In this study the utilized techniques are powered by uncertainty theory is Triangular Neutrosophic Sets (TriNSs). These utilized techniques contributed to constructing robust hybridization model. This model implemented in real case study to ensure its validity on decision making.