# BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
## 2 Literature Review
This scheme provides higher packet delivery with minimum delay. In [15], the modern intelligent transport system has brought plenty of opportunities for VANETs. Along with this, a number of challenges also emerge. Due to this, a practical and reliable security scheme is needed to handle such challenges while protecting user privacy at the same time. 5G Technology is best for our ultra-reliable and low-latency wireless communication services and SDN architectures. These two approaches aside, they have paid for an innovative security scheme and decentralized and immutable blockchain technology. Real-time cloud-based video reports and trust management on vehicular messages provide solutions for the discussed challenges, such as malicious node detection. Video, in real time, is recorded, encrypted, and uploaded. Pictures are also used to check whether the situation is match-related or not. The results showed that the detection of malicious nodes has significantly improved. In [16], the authors introduce many protocols that have been proposed considering VANETs' characteristics. The protocol based on vehicle position is found to be the most adequate. Urban and highway environments are studied, and different protocols are compared, such as topology and position-based protocols [17]. The comparisons are made from different perspectives regarding which protocol is used in which environment. Cycles mainly make the transition from urban to highway environment. Therefore, the transition of protocol for different scenarios might not be a good idea because the vehicle might lose its packets or connectivity in this case. Therefore, a new hybrid protocol must be introduced and developed to adapt from one environment to another [18]. The authors in [19] suggest a distributed edge-fog node-based video surveillance system for smart homes that employs motion detection and reversible blurring to protect privacy. The system interfaces with a private blockchain network to ensure integrity and offer authorization, and it is resource-efficient. In [20], the authors explore the positive and negative effects that technology, particularly in terms of a distributed ledger or blockchain, has on social animal behavior. It examines this technology's characteristics, benefits, drawbacks, difficulties, and potential uses in various fields, including banking, health, travel, and others. In another article published [21], the author's use of blockchain technology to guarantee data accountability and improve privacy and accessibility in Internet of Things (IoT) devices is discussed as a potential benefit. It investigates several IoT topologies and suggests a novel method that outperforms current cryptography algorithms and is secure from known vulnerabilities. The essay also thoroughly evaluates the suggested scheme's simulation findings. This article suggests a blockchain-based alternative to improve security and transparency in the distribution of COVID-19 immunization vials, with smart contracts and proof of delivery, scalability, and throughput improvements [22]. To increase the mobile server utilization, lower the costs, and improve the performance for various applications, including augmented reality, e-transportation, e-healthcare, and education, the paper proposes a dynamic decision-based task-scheduling approach for microservice-based mobile cloud computing applications. The suggested method successfully lowers expenses while enhancing application startup, resource use, and task arrival times [23; 24]. Driving accidents can be exacerbated by diabetes. To decrease accidents, this study suggests a unique method for monitoring diabetic drivers that uses wearable sensors, machine learning, and VANET technology. The method with the highest accuracy, ranging from 90.3% to 99.5%, was random forest [25]. Another research paper [26] suggests a machine-learning-based real-time malicious node detection system for the vehicular ad hoc network (VANET), which has 99% accuracy in identifying DDoS attacks.