The idea of sharing economy gives rise to unique ideas and develops innovative businesses. This article aims to relate the smart city concept by introducing the smart transport system and explores the opportunities of adopting blockchain technology in ride-sharing services. Blockchain technology is a distributed, decentralized public ledger that allows peer-to-peer transactions in a secured way without any third party. This paper proposes a blockchain-based framework from the existing centralized framework for a ride-sharing service and implements the same as a decentralized application (DApp) based on smart contracts on Ethereum Blockchain. Using smart contracts facilitate the users with automated transactions, removes the intermediaries, and enables various activities to be carried out safely and securely. Implementation of smart contracts is done using the Solidity programming language. This DApp uses the min matching algorithm to match riders requesting rideshare to save total travel distance. With the overwhelming growth in the usage of cryptocurrencies, smart contracts usage in applications as proposed in this paper can transform the sharing economy.
In this digital era, with the advent of technology like 4G network and VOIP, video calling is the most cost effective and cutting-edge communication technique. Simultaneously, video sharing through social networking sites is very popular, as it can reach a wider public domain in seconds. This enormous use of video motivates the fact that as digital medium video can be effectively utilized for secret sharing. Using video steganography, any kind of secret data like text, image, audio, even a short video can be hidden inside another video object, which can be securely transmitted to the recipient over the internet. In this chapter, an effort has been made to relate various techniques of video steganography under a single header to identify future scope of research. Also, all possible quality metrics for videos and for measuring robustness have been studied, and different steganalysis attacks on video have been analyzed. The broad mission of this chapter is to be a quick reference to future researchers of video steganography.
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