autoCoin: Secure Content Sharing Based on Blockchain for Vehicular Cloud

A future smart car will be more than a means of transportation, as it will not only move people to a destination without requiring them to drive but will enable people to work or enjoy a trip with entertainment. For this, smart vehicles need to deal with various types of data for safety and infotainment, such as real-time traffic, multi-media contents, documents and weather information. Recently, a fleet of vehicles connected to other vehicles and infrastructure (i.e., road side units) using a legacy or 5G mmWave spectrum has been considered as a platform to cooperate for those new tasks, known as the vehicular cloud or fog. Within the vehicular cloud, data management should consider security, high availability and interoperability between vehicles. However, these are not easily achievable without a centralized service provider; it is difficult for an autonomous P2P system to guarantee data integrity, and it cannot compensate drivers that actively participate in the vehicular cloud. Fortunately, the many successes achieved in the field of crypto-currency raise the possibility of defining incentives that are necessary for a sustainable digital economy. In this paper, we propose autoCoin—an approach that aims to encourage smart vehicles to cooperate to create and exchange infotainment data securely under the assumption of rationality. We introduce a scalable blockchain architecture for autoCoin and a smart contract to exchange contents without third-parties using an off-chain technique.

Errata for "Unifying consensus and atomic commitment for effective cloud data management"

This errata article discusses and corrects a minor error in our work published in VLDB 2019. The discrepancy specifically pertains to Algorithms 3 and 4. The algorithms presented in the paper are biased towards a commit decision in a specific failure scenario. We explain the error using an example before correcting the algorithm.

Survey and analysis of cloud data management and security

This paper explores different security aspects in cloud computing environment. It includes data sharing mechanism, inter cloud communication, data breaches, data control, user-cloud relationship along with the cloud data management with standard security algorithms. It also covers the related reviews and analytical analysis on the traditional approaches for the gap identification. So, a short meta-analysis has been presented based on the method discussed along with the advantages and challenges found. It also explores the future prospective where there is the need of exploration and research.

Secure Identity-Based Proxy Signature With Computational Diffie-Hellman for Cloud Data Management

This chapter explains a secure smart cloud framework based on identity-based proxy signature (IDBPS) scheme on Computational Diffie-Hellman (CD-H) assumption and AckIBE for data management. The objective of this chapter is to construct a secure hierarchical structure of homogeneous and heterogeneous cloud centers. This structure gives various types of computing services in the support of data analysis and information management. In this, the authors also introduce a security-related solution based on acknowledgment identity-based encryption (AckIBE), an IDBPS on computational Diffie-Hellman assumption, and identity-based proxy re-encryption to face critical security issues of the proposed framework.