Privacy is one of the most popular technologies in the IT industry. A lot of data is collected from users from various sources. The same IoT (Internet of Things) application raised concerns about privacy in IoT systems. Sensor data collects information about users' daily activities and makes life easier, but compromises privacy and security. Implementing privacy and security into applications is a huge challenge. This article presents common methods for maintaining privacy and protecting statistics in IoT applications. To this end, many encryption methods are analysed, and finally, a comparative analysis of personal information protection methods and their applications is presented.

Cloud computing is one of the key computing platform and technology for sharing resources that may include infrastructure, software, applications, and business processes. Cloud computing incorporate within it data loss prevention, encryption, and authentication, as technologies aimed to support cloud environment. The main intention behind cloud computing is the work done on the client side that can be moved to some unseen cluster of resources over the internet. Context awareness is the process in which the system or system components gather information from its surroundings accordingly. It is responsible for collecting the data automatically and responds to the situation arising dynamically. The focus of this paper is on developing a Context Sensitive Privacy Provision Algorithm such that the encryption and decryption of the data can be done only at the user end but not at the server end so as to preserve context privacy of an individual.