This paper has discussed about smart transportation services in cloud (Cloud-STS) for safety and convenience. STS provide driver centric board services in the cloud networks. STS composed of Vehicle to WiFi networks (VtoWiFi), Vehicle to Cloud Network (VtoCN), Vehicle to Vehicle (VtoV), and Cloud Network to service provider (CNtoSP). The idea is to utilize the (WiFi enabled) Smart Highways and 3Dcamera enabled dash board navigation device to enhance accident prevention / monitoring and control. Hence, in the event of accident, the video recorded using the collectors and the information about the location, specified by the GPS module are transferred to reliable cloud so that the concerned authorities can have a look at the evidence stored at same time and provide additional services to capture and share real-time accident/traffic footages.

Intelligent Transportation System (ITS) is the emerging transportation which comprises of the advanced technologies such as wireless communications, video vehicle detection, distributed system architectures, human machine interface, sensing and actuating, to improve safety of the passengers, traffic congestion, fuel consumption and optimize other services of the transportation system such as real time traffic situation, electronic toll collection, automatic road enforcement and hot lanes. The current ITS systems lacks self-adaptive capability to take spontaneous decisions. The environment of the ITS system is very complex so optimal decisions cannot be taken but a good enough decision can be taken which fulfills the requirement of the system. To build an ITS system having the capability to adapt itself, this paper presents the self-adaptive requirements for the ITS. To elicit the requirements for ITS, we use scenarios based model and goal based model using the requirements Engineering processes (Elicitation, Elaboration, Specification, Validation) with MAPE-K. We use Knowledge Acquisition on Automated Specification (KAOS) approach to build goal model using Objectiver tool, and use RELAX syntax to elicit adaptive requirements for ITS.

The cloud has several security and trust issues with the third-party provider. The blockchain-based cloud (BBC) system is an emerging technology that promises safe storage of big data on a cloud. The development of such a system needs requirements engineering (RE) in determining the requirements based on service-level agreements (SLAs). RE can provide a functional process to model and specify a SLA-based smart contract. The RE process for BBC ensures that the resulting SLA specifications are consistent, accurate, complete, verified, and validated. The RE process responds to the many challenges of the BBC and determines a novel direction to provide efficient and quality development of blockchainbased applications.

This paper presents an overview of security and it's issues in cloud computing. Nowadays cloud computing has tremendous usage in so many fields such as financial management, communications and collaboration, office productivity suits, accounting applications, customer relationship management, online storage management, human resource and employment. Owing to increase in use of these services by companies, several security issues have emerged and this challenges cloud computing architectures to secure, protect and process user's data. These services have certain cons like security, lock-in, lack of control, and reliability. Privacy and security are the major concerns in cloud computing services. In this paper, we have designed a novel secure framework for cloud services, as well as presented a critical analysis of CCMP (Counter with Cipher Block Message Authentication Code Protocol) protocol for secure data management of cloud services.