Secure Javascript Object Notation (SecJSON): Enabling granular confidentiality and integrity of JSON documents

Currently, web and mobile-based systems exchange information with other services, mostly through APIs that extend the functionality and enable multipart interoperable information exchange. Most of this is accomplished through the usage of RESTful APIs and data exchange that is conducted using JSON over the HTTP or HTTPS protocol. In the case of the exchange requires some specific security requirements, SSL/TLS protocol is used to create a secure authenticated channel between the two communication end-points. This is a scenario where all the content of the channels is encrypted and is useful if the sender and the receptor are the only communicating parties, however this may not be the case. The authors of this paper, present a granular mechanism for selectively offering confidentiality and integrity to JSON documents, through the usage of public-key cryptography, based on the mechanisms that have been used also to provide XML security. The paper presents the proposal of the syntax for the SecJSON mechanism and an implementation that was created to offer developers the possibility to offer this security mechanism into their own services and applications.info:eu-repo/semantics/acceptedVersio

Breakdown film script using parsing algorithm

Breakdown script is a breakdown of the scenario into parts that describe each detail of the scene for shooting. The scenario is broken down into more detailed parts using the parsing algorithm. The film script used is a script in Bahasa Indonesia. The process starts from the film script file/scenario in FBX format uploaded to the website then is solved using a parsing algorithm into film elements such as cast members, extras, props, costumes, makeup, vehicles, stunts, special effects, music and sound. The results of this breakdown into sheets according to film elements. The purpose of this research is to produce breakdown sheets from film scripts according to film elements. The parsing algorithm test results showed the correct results of 12 scenes out of 19 scenes