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Authors propose a structural design of social networks to study architecture of social networking site and its working principles. Typical social networking sites have three-tier architecture which induces higher searching time for user queries. Our proposal presents a load balancing module for protecting user enquiries before spreading them to data server. In this chapter, query optimization of user queries for faster results has been discussed. Experimentation results exhibit possibilities of data (user queries) failure reduction due to external disturbances. Authors have analyzed large scale data of social network through graph for reducing data loss and minimal network failure to maintain scale free growth in Social network. Properties of interface module and growth coefficient are to be analyzed to exhibit benefits of proposed system architecture for balancing load from web server to data server through Hash table cache, Log table and index control module with scale-free query optimization.

In this paper, we are going to discuss about big data processing for Internet of Things (IOT) based data. Our system extracts information within specified time frame. Data tracker or interface tracks information directly from big data sources. Data tracker transfers data clusters to data controller. Data controller processes each data cluster and makes them smaller after removing possible redundancies. Big data processing is a challenge to maintain data privacy-related protections. Data controller processes big data clusters and sends them through secure and/or hidden channels maintaining data privacy.

We propose an Internet of Things (IOT) based system for handling of real time data fed from the environment to measure distinct activities. We provide unique identifications for each required substance using IOT. In this paper, we have presented and discussed the use of sensors as part of senders and receivers for protecting sensitive areas of specified zones. Furthermore, we have discussed the presence of IOT in preserving the intrusion details of sensitive areas.