Due to the widespread adoption of the internet and its services, protocols have been established and new ones arise every year. Either for securing connections, ciphering information or service authentication, protocols place an important part in network communications. The TCP/IP has become one of the ubiquitous protocol suites for secure communication, and therefore, a desirable target for covert information encapsulation. In this article, we will discuss the art of unauthorized data transfer - covert techniques - for data encapsulation in protocol data packets, emphasizing headers fields manipulation.
The idea behind Quiz Challenger was to create knowledgeable environment in which user can share and enhance knowledge by giving and accepting challenge. The Quiz challenger is developed on JavaScript used for front-end and node JS used for back-end development. To dealt with database we use MongoDB.
Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.