No abstract

In recent years, Online Social Networks (OSNs) have registered significant growth. They have become part of daily routine life, a phenomenon that received the serious attention of academic, technological, and social research communities. Many OSNs allow its users to post multimedia content, communicate in various ways, and share many aspects of their life in addition to building a virtual network of social relationships. While sharing data to the multiple users, there is no mechanism in place to enforce privacy and security issues in OSNs. Users in OSNs reveal personal information such as their profiles photos, relationship status, phone numbers, dates of birth, and other social activities without being aware of the risks and thefts which may occur. Therefore, this paper aims to capture the concepts of multiparty authorization and policy enforcement in an access control model. The paper deliberates broad-spectrum issues of the multi-users such as privacy and security issues, data integrity, scalability, data authentication, and so on, while sending the data. To overcome such a situation, we need to develop an innovative framework, i.e. Novel Adaptive Privacy Policy Prediction (NA3P), for multi-users access control policies using machine learning classification techniques to provide security and policy prediction for shared content.

Local bodies such as municipalities must collect various types of taxes from citizens. Each and every citizen is responsible for paying their energy, water, and other utility bills to the appropriate authorities. In reality, any citizen wants to pay their municipal house taxes, they must go to the municipal office, pay and take the necessary bill receipt, remaining water and electricity and so on bills are the same way. Obtaining all of this tax information from various authorities is no easy task those days. For this reason, we are developing an application that will use web-based services to collect tax details from various organization based on the house number and owner name, and then store the information in our own database. Citizens must initially register in order to receive tax information. The different bill payment modes are annual, half-yearly, quarterly, and so on. Citizens can log onto the system with their user id and password and obtain the essential information from the home page. Every user must disclose his or her address as well as the name of the owner. They will search for by using the search button. • House Details • Electricity Bill Details • Water Bill Details • Municipality Bill Details • Property Tax Bill Details • Pending Bills In this case web services are paying an important role. Because this system obtains data from a variety of sources. Only additional sources of information are available to a web service.