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Abstract-Internet of Things referred as a pervasive network architecture which provides services to the physical world by processing and analyzing data. In this modern era Internet of Things has been shown much significance and rapidly developing by connecting heterogeneous devices with various technologies. By this way interconnectivity of large number of electronic devices connected with the IoT network leads the risk of security and confidentiality of data. This paper analyzes different security issues, their counter measures and discusses the future directions of security in IoT. Furthermore, this paper also discusses essential technologies of security like encryption in the scenario of IoT for the prevention of harmful threats in the light of latest research.

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Abstract-In this era and in the future, artificially intelligent machines are replacing and playing a key role to enhance human capabilities in many areas. It is also making life style better by providing convenience to all including normal human beings and professionals as well. That is why AI is gaining huge attention and popularity in the field of computer science by which it has revolutionized the rapidly growing technology known as expert system. The applications of AI are working in many areas with huge impact and being used widely as well. AI provides quality and efficiency in almost every area, we are evolving it in. The main purpose of this paper is to explore the area of medical and health-care with respect to AI along with 'Machine Learning', and 'Neural Networks'. This work explores the current use of AI in innovations, in the particular field of Bio-Medical and evaluated that how it has improved hospital inpatient care and other sectors related to it i.e. smart medical home, virtual presence of doctors and patients, automation in diagnostic, etc. that has changed the infrastructure of medical domain. Finally, an investigation of some expert systems and applications is made. These systems and applications are widely used throughout the world and a ranking mechanism of their performance has proposed accordingly in an organized manner. We hope, this work will be helpful for the researchers coming to this particular area and to provide a syntactic information that how computer science (i.e. AI, ANN, ML) is revolutionizing the field of biomedical and healthcare.

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