Secure and Fast Adaptive Mobile Video Streaming and Sharing in Wireless Mobile Network Nisha Bhaskar Patil PG Student of Computer Engineering Dept. Sandip Institute of Technology and Research Center, Nashik, India Amol D. Potgantwar HOD of Computer Engineering Dept. Sandip Institute of Technology and Research Center, Nashik, India Abstract— The video traffic for mobile networks have been increasing remarkably but the wireless link capacity cannot keep up with the traffic. This results in less service quality of video streaming for mobile networks. The provisioning of video streaming services is vital to provide a required level of consumer happiness, given by the appearing video stream quality. Therefore it is important to choose the compression parameter and the network settings so that they make best use of the user quality. With cloud computing for mobile networks, a new formation is introduced called Adaptive mobile video streaming and sharing in wireless mobile network. Here, security is consigning to each patron in the form of One Time Password (OTP) method. With the help of OTP, the video is encrypted and at the user end it will be decrypted with the matching key. The user can upload the video only when he is register user & then the video is patterned by admin. Here security is assigned to each user so that the video cannot be seen by unregister user and cannot be seen by cloud provider using RC4 encryption technique. With the help of AMoV, we use the concept of adaptability and scalability features. So it provides effective utilization of bandwidth. The aim of the presented work is to evaluate video quality of mobile video streaming at the user-level for a huge set of possible codec settings in 3G network and for a wide range of video content. Keywords—OTP, PIN, Cloud Computing, Mobile Bandwidth, AMoV, ESoV I. INTRODUCTION A platform for other advanced technologies like mobile computing, big data to hammer its service and make available the QoS to the customers is offered by cloud computing. The cloud has full-fledged to an huge expand over the period of years. All the services that are available to the customer are done using cloud as their backbone, it provide enormous amount of resources and infrastructure to consumer who acts as vendors to small scale business and cloud could afford services to completely fledged association with less cost. The video streaming is not so complicated in connection- oriented networks, but in wireless link video streaming is challenging task. Network operators are made efforts to improve the wireless link bandwidth to satisfy requirements from mobile users but while receiving the video streaming packets via 3G/4G mobile networks, the mobile users are suffer from long buffering time and intermittent interruptions due to the restricted bandwidth and link condition variation caused by multi- path fading and user mobility. Thus, it is critical to recover the service superiority of mobile video streaming while using the networking and computing resources capably. Alternatively, Dynamic Adaptive Streaming via HTTP (DASH) is a sizzling matter in academy and industry. The objective of DASH is to distribute video with high QoE even in dynamic network circumstances. The basic proposal is that the video is encoded at numerous bit rates and resolutions. Each encoding is alienated into chunks, video segments typically between 2-30 seconds in length. The client first downloads a manifest file which encloses information on the available audio and video streams, their encodings, and chunk intervals. Then, the client demands one chunk of video at a time using HTTP. Depending on its rate revision algorithm, it detects the presently available bandwidth for the session and the video quality is adjusted consequently. Recently there have been many studies on how to get better the service superiority of mobile video streaming on two characteristics: Scalability: Mobile video streaming services [1] should hold up a wide spectrum of mobile devices; they have dissimilar video resolutions, dissimilar computing powers, different wireless links and so on. Also, the obtainable link ability of a mobile device may differ over time and space depending on its signal strength, other user’s traffic in the same cell, and link condition difference. Storing multiple adaptations of the same video content may acquire high overhead in terms of storage and communication. To address this issue, the Scalable Video Coding (SVC) technique of the H.264 AVC video compression standard describes a base layer (BL) with multiple [1] enhance layers (ELs). These sub streams can be encoded by utilizing three scalability features: (i) spatial scalability by layering image resolution,(ii) temporal scalability by layering the frame rate, and (iii) quality scalability by layering the image compression. By the SVC, a video can be decoded/played at the low down quality if only the BL is delivered. Conversely, the more ELs can be delivered; the improved quality of the video stream is accomplished. Adaptability: Traditional video streaming [1] techniques proposed by taking into consideration Nisha Bhaskar Patil et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (5) , 2015, 4712-4717 www.ijcsit.com 4712