Pratima Sharma

Travel planning often involves multiple platforms for booking rental cars and flights, leading to inefficiencies and security concerns. This paper introduces a decentralized application that integrates Artificial Intelligence (AI) and blockchain to enhance the travel booking experience. The proposed system enables users to enter a source and destination, after which AI analyzes past preferences to recommend nearby rental cars. If the destination is far, it retrieves relevant flight options, ensuring a seamless transition between different modes of transport. Blockchain technology ensures data security, transparency, and immutability, preventing unauthorized alterations while enabling a trustless environment. Unlike centralized platforms, where user data is stored on third-party servers, this system employs smart contracts to manage transactions securely. The AI component personalizes recommendations based on user behavior, improving decision-making, and optimizing travel efficiency. This study evaluates the system's accuracy, security, and usability through real-world simulations, demonstrating its ability to streamline travel planning. The combination of AI-driven recommendations and blockchain-based security enhances user experience by reducing dependency on intermediaries. By leveraging these technologies, the application provides a personalized, decentralized, and secure solution for travelers, paving the way for a more efficient and privacy-preserving future in travel services.

Blockchain technology provides a secure and reliable platform for managing data in various application areas, such as supply chain management, multimedia, financial sector, food sector,Internet of Things (IoT), healthcare, and many more. The recent emergence of blockchain with IoT provides significant growth in the healthcare industry to improve security, privacy, efficiency, and transparency with more business opportunities. Nevertheless, conventional healthcare schemes suffer from various security attacks like collusion, phishing, masquerade, etc. Therefore, a privacy-preservingDistributed Application (DA)is proposed in this paper using blockchain technology to create and maintain healthcare certificates. Here, the distributed application provides an interface between the blockchain network and system objects like healthcare centers, verifiers, and regular authorities to generate and issue medical documents. In addition, it also ensures security by specifying rules using various smart contracts. To evaluate the performance of the proposed scheme, various experimental tests are conducted using the Etherscan tool for measuring operation cost, latency, and processing time. Here, the efficiency of the proposed system is also compared to the existing systems in terms of latency, throughput, and response time. The experimental results and comparative analysis show that the proposed work is more efficient than the existing techniques.

The cab-sharing system provides a platform for drivers and riders with shared trip services, providing significant benefits, such as decreasing traffic congestion, reducing travel costs, and limiting energy consumption, which improve the business of transportation. However, existing cab-sharing systems mainly depend on the centralized authority to provide many services, increasing privacy concerns and facing the single point of failure issue. Also, these systems expose drivers’ or riders’ locations and personal information that increase security issues, and charge high fees for services due to the involvement of third-party providers. Therefore, this paper proposes a decentralized and secure cab-sharing system to provide ride-sharing services using blockchain technology without any trusted third party. The proposed system uses the blockchain structure to preserve the driver’s or rider’s information, such as personal details, travel price, pickup or drop-off locations, departure or arrival date, and time. Furthermore, it implements the reputation feature to rate drivers and riders based on their travel history or behaviors without any centralized authority that allows users to select them based on their past experiences on the system. The proposed architecture is deployed using the Ethereum platform and functionality is designed using smart contracts. The performance evaluation and experimental results show that the proposed system requires low computational overheads and provides an efficient cab-sharing platform.

Nowadays, medical certificates are very important for many users as they want to avail health benefits like tax purposes, insurance claims, legal procedures, and many more. Generating, issuing, and maintaining medical certificates remain a significant problem; before the invention of the computer, they were available as hard copies. The digitization of medical certificates and documents leads to potential security issues, such as forging of certificates risks the privacy of healthcare documents. Moreover, individuals still need to be physically present and wait at the issuing healthcare centers to get the certificates. Currently, the infrastructure of any healthcare industry connects the Internet of Things (IoT) devices and application software that communicates with the information technology systems. Blockchain technology with IoT can significantly affect the healthcare industry by improving efficiency, security, transparency, and can provide more business opportunities. Therefore, a privacy-preserving technique has been proposed in this article for IoT-based healthcare systems using blockchain technology. The proposed architecture provides an interface between the users and healthcare centers to generate and maintain healthcare documents. Furthermore, the proposed scheme ensures security by specifying rules with a smart contract. Results and discussion show that the proposed scheme is more efficient than the existing schemes.

Surreptitious duplication of biometric features poses a major threat to privacy and anonymity of an individual. Cancelable Biometrics-an emerging field of biometric template protection scheme can diminish these privacy threats. Generally cancelable Biometric approach transforms the original biometric data using non-invertible transformation function to generate pseudo-identities or cancelable templates. In contrast, application of invertible transformation function in conjunction with key can also generate cancelable templates. Mostly, cancelable templates are revocable and computationally complex to reverse. The necessity of preserving privacy and maintaining high recognition accuracy compulsorily needs storage and matching of transformed biometric data. In order to determine the research gap and future direction in the field of cancelable biometrics, in this survey, we have analysed and reviewed the recent work in field of cancelable biometric. For this, cancelable biometric approaches are classified into invertible and noninvertible methods. Also, the comparative analysis of cancelable approach is tabulated. The research gaps and future directions are also summarised.