This paper introduces a framework for the secure encryption of healthcare images. The objective of this paper is to encrypt medical images based on Deoxyribo Nucleic Acid (DNA), 3D Lorenz chaotic map, BITXOR operations. The different keys are employed to provide confusion, permutation, encoding and diffusion operations in the encryption procedure to provide uncorrelated image pixels. The proposed algorithm uses 3D Lorenz attractor as chaotic system for encrypting colour Digital Imaging and Communication in Medicine (DICOM) images. Further the encrypted image will be validated using encryption quality to evaluate the security analysis.

In this paper, we emphasize the concept of Internet of Things (IoT), in addition to reviewing the main challenges of the IoT environment by focusing on the recent research directions in this topic. With the increasing dependency of events over the smart objects which can be easily controlled and monitored, can be identified automatically and communicate with each other through internet and can make decisions by themselves, there is an urgent need of new paradigm which can connect these smart devices together and that new paradigm is Internet of Things. in fact, the IoT environment possesses a large range of challenges has a wide impact on their performance, which can be divided into two categories, that is i) General challenges: for example communication, heterogeneity, virtualization and security; plus ii) Unique challenges: for example wireless sensor network (WSN), Radio Frequency Identification (RFID), and as a final point Quality of service (QoS) which is measured as a common factor between general and special challenges. This paper highlights the major applications of the IoT. More than a small number of sectors like security and emergency, meteorology, banking, agriculture, Surveillances, health care, education, government e services, domestic appliances monitoring, traffic surveillance are integrated and a variety of objects and devices are connected using RFID technology. This paper as well describes that how various fields are connected by means of RFID technology and sensor networks.

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IoT or the Internet of things refers to all the physical devices connected to the internet. IoT consists of computing devices that are web-enabled and have the capability of sensing, collecting, and sending data. IoT provides the ability to remote control appliances and has many more applications. Since IoT is becoming a big part of society, it is necessary to ensure that these devices provide adequate security measures. This paper discusses various security issues in IoT systems like threats, vulnerabilities and some countermeasures which can be used to provide some security. Developing a secure device is now more important than ever, as with the increase in digitization, much of a user’s data is available on these devices. Securing data is a primary concern in any system, as internet-enabled devices are easier to hack. The idea of this paper is to spread awareness and improve the security of IoT devices.

Ontology is a replica for knowledge portrayal and is used to articulate profile of user in personalized web information extraction. Earlier user profile was created based on either global knowledge base or local repository. This model extracts global knowledge from web crawler and combines it with user preference to obtain user background knowledge. Finally specificity is calculated based on semantic relations is-A and part-Of. The search results are more personalized and accurate. Hence this model is suggested for web information extraction. General TermsInformation Retrieval, Data Mining.