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With the progressive growth in the adaptability of the Blockchain technology with flexible solutions, various industries, academicians and researchers are paying attentions in such area to explore Nobel opportunities. Due to its qualities like decentralization, immutability, and encryption, block chain has the potential to shift the hierarchy of healthcare also. This area has observed many benefits of Blockchain technology, but still people have hesitations to adapt it due to lack of standardization, high cost, lack of awareness, and lack of technical knowledge to implement it. This chapter aimed to showcase the potential for block chain technology in the tale care system.Various BC based models and frameworks are discussed to cover various stages of secured data transfer for patient empowerment. This covers all technological issues in storing medical records in the various application areas where block chains will provide secured and authenticated transfers of patient personal data.

Due to the wide deployment of Internet and information technology for storage and processing of data, the ever-growing privacy concern is the major obstacle for information sharing. In the present digital scenario, the information security is of prime concern. With hundreds of terabytes or even Petabytes of data/information floating over around, it is important to have the access to the private sensitive data only to authorized users. The explosive increase in the amount of data/information leads to the growth of data mining techniques, a significant resource for information security. The data mining is the extrication of relevant patterns/ knowledge of information from bulk of data. It provides the variety of applicable techniques, in accordance with the different security issues aroused, to achieve a desired level of privacy. This paper provides a wide survey of the emerging issues in the security field and various privacy-preserving techniques PPDM techniques that can be used to mitigate the increasing security risks and threats. It also centers on analyzing the problem of computation on private information developing new concepts and techniques to deal with emerging privacy issues in various contexts security of information while sharing and exchange using Differential Privacy. Finally presents the challenges and techniques for differential privacy as a trusted path to achieve privacy and discuss some of the theoretical and practical challenges for future work in this area.

Hardware management and resource tracking is an important activity in maintaining labs at institute and offices. The resources are spread across various labs; some of the systems are at different location of the office. The monitoring of these systems is itself a tedious task. In this paper a ‘Resource Tracker’ methodology is proposed that provides a method to track remote resources by identifying parameters. With this approach we can create custom report organized in the way we want to show details about the system parameters like basic hardware details, memory, disk drivers, network status of the machine etc. The aim is improve the data accuracy and overcome limitation of traditional methods to track the information of resources. The motivation for development of “Resource Tracker” came from an inherent drawback of the traditional methods. The methodology also provides holistic view of the data by combining the parameters and hence gives a collective view and resource analysis. The methodology also provides a way to find out a system with particular hardware and software configurations. The proposed system is based on three-tier architecture.