N. Deepak et al, International Journal of Computer Science and Mobile Computing, Vol.2 Issue. 12, December- 2013, pg. 456-464 © 2013, IJCSMC All Rights Reserved 456 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 2, Issue. 12, December 2013, pg.456 – 464 RESEARCH ARTICLE DIGITAL FORENSICS SERVICE PLATFORM FOR INTERNET VIDEOS N. Deepak 1 , B. Arunkumar 2 , Dr. T.V.P.Sundararajan 3 1,2 PG scholar, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India – 638401. 1 deepakn.ae12@bitsathy.ac.in 2 arunkumarb.ae12@bitsathy.ac.in 3 Professor, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India -638401. suntvp@bitsathy.ac.in ABSTRACT- Digital Forensics is an emerging technology, which is used to detect illegal content in videos. In this project, the main objective is to use the Content Delivery Network (CDN) based Resource Aware Scheduling (CRAS) algorithm to find the originality of the video. CDN transmits the packets from source to destination in the real-time approach. The sample video is given in terms of frames, where the frames are i frame, b frame, p frames respectively. CRAS algorithm schedules the tasks efficiently in the Digital Forensic Service Platform (DFSP) according to resource parameters such as delay and computational load. The proposed system decreases node traffic and improves the scalability. Keywords- Digital Forensics, Fingerprint, Watermarking, Content access, video detection I. INTRODUCTION As the number of videos distributed over the internet increases rapidly, there is a need to solve this problem. A recent study states that, 23.8% of the internet traffic is due to the illegal videos. So there is a need to develop the security for the internet videos. Digital forensics system helps to overcome this problem. Various techniques are used to find the illegal contents in the videos. Fingerprinting, Watermarking, Feature selection and comparison are some of the techniques. This paper mainly deals with the above mentioned techniques. The large amount of computation cost and communication cost are the major issues in the existing techniques. To solve the scalability and efficiency problems, we proposed some technique. A novel large scale digital forensics service platform for internet videos is the advanced system proposed by Haoyin and Wen Hui[7]. In this work, the main task is to reduce the communication cost and scalability problems. CRAS algorithm used in this paper, detects the legality of the videos over the internet.