Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Authors: C. Bharathi Priya, V.Meena

Abstract: Mobile Adhoc Network(MANET) is characterized by constant change that forms connected and disconnected MANETs .Due to the challenges of MANETs ,existing social network file sharing it makes file transfer ineffective for certain applications. Most of file sharing is made through smart phones, laptops and PCs from one system to another. This paper explains sharing of audio file, text files efficiently over the network. Existing P2P content based file sharing system namely Social network-based P2P cOntent-based file sharing in disconnected mObile ad hoc Networks (SPOON), for disconnected MANETs was used widely. For efficient file searching, SPOON groups the common-interest of the nodes that frequently meet with each other as communities. This system uses an interest extraction algorithm to derive node’s interests from its files for content-based file searching. The proposed work is based on social network based file sharing, the objective is to allow users to download media files such as music, movies, and games using a using twitter dataset analysis. Clustering technique is also used to cluster large datasets. Ant colony algorithm(ACO)is the solution to solve optimisation problems in real world. Ants are the agents that move along between nodes in a graph to find the shortest path. This improves the Accuracy, Processing time, Processing cost and file search efficiency.