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The Intelligent transport systems (ITS) have evolved with the Internet of Vehicles (IoV) and the growth of advanced wireless technology associated with billions of smart devices connected to Internet. The rapidly evolving use of the Internet of Things (IoT) has led to significant growth in VANETs have transformed the traditional VANET topology into an Internet of vehicles (IoV),an improving road safety and automatic traffic monitoring to reduce issues related to traffic congestion. However, the security risk is expanding due to VANET communications' dependence on resources such as computing as well as a lack of standards due to rapidly evolving technologies. Existing methods have proposed very limited protections in using a single pseudonym or invalidating the trust scheme that anonymous attackers can easily compromise. During vehicular communication, messages in VANET might be associated with reliability since the transaction of messages in vehicular communication needs to be comprehensive enough and secure enough to withstand the security threats by achieving trustworthiness transmission of the dynamic pseudonyms trust model (DPTM). Conversely, the severe challenge is to protect information exchange between vehicles because some malicious nodes might perform as Man-in-the-Middle (MiTM) network attackers due to dishonest vehicles in VANET. The increasing trustworthiness between nodes can thus lead to an increase in VANET's trustworthy sharing of knowledge, privacy, security, accuracy, and authenticity. In this paper, we proposed a dynamic trust-based model in the term of dynamic pseudonyms changing scheme that first identify the honest vehicles as nodes to broadcast messages to normal vehicles on the road and secondly change their pseudonyms in only some specific zone to identify the dishonest nodes for protection assurance in the State of MiTM and Sybil attacks. Furthermore, it has addressed the use of pseudonym schemes for privacy and security requirements. All VANET nodes have built the trust given initially by the various RSUs and servers, trusted communication in the network. The experiment was performed based on various network scenarios to assess the accuracy and efficacy of the dynamic trust-based model. We have extensively evaluated performance measures of the F-Score, Recall, and Precision indices to demonstrate that the proposed model has outperformed the MARINE and PPARTM models already reported. The experimental results have verified the proposed lightweight model for certifying the recognized trust level of 40% of MiTM attackers with an F-Score of 95% compared to the MARINE model's highest recognized detection of 90%. [ABSTRACT FROM AUTHOR]

Supply chain management in the healthcare sector is considered to be more complex than any other sector. Therefore this study aims to investigate the impact of inventory management techniques which are inventory control system, inventory level, and warehouse operation on the supply chain performance of private hospitals, in Hyderabad, Pakistan. The primary data collection time was 04 months from 04 private hospitals in Hyderabad and the targeted population was store department and purchase department employees, a total of 200 questionnaires were distributed among them. The techniques applied to analyze data were Principal component analysis and multiple regression. The findings of the study and hypotheses analysis proven that the inventory control system, inventory level, and warehouse operation have a significant and positive impact on the supply chain performance in the private hospital of Hyderabad, Sindh Pakistan. The recommended work is beneficial for hospital consultants and academicians as this study sum-up the main factors for each supply chain uprising. In addition, this study suggests a variety of research questions that may be used as a tool guide for the future route of the field. [ABSTRACT FROM AUTHOR]