International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 24 |
Year of Publication: 2021 |
Authors: Vioni Retno Gita Leri, Imam Riadi |
10.5120/ijca2021921610 |
Vioni Retno Gita Leri, Imam Riadi . Data Search for Pornographic Content on Twitter Services using National Institute of Standard and Technology (NIST) Method. International Journal of Computer Applications. 183, 24 ( Sep 2021), 25-31. DOI=10.5120/ijca2021921610
The development of mobile device technology, especially on social media to interact with two or more people, has become a necessity that cannot be separated from daily life. Twitter is an online social networking and microblogging service that allows its users to send and read text-based messages,Twitter is currently experiencing rapid growth and is popular throughout the world, due to its high popularity, Twitter is often used for various purposes at this time Twitter is the social media with the highest pornographic content contributor. This study will scenario the crime case using the Twitter application that runs on application mobile using the NIST stages related to the topic of cyberporn distribution. The stages of theforensics National Institute of Standards and Technology (NIST)are collection, examination, analysis, and reporting. This study uses a smartphone with a rooted condition and the Twitter application is installed. The crime case scenario in cyberporn this research is the distribution of pornographic content on Twitter based on examples of existing cases. The process of collecting digital evidence through the Twitter API and using two forensic tools, namely MOBILedit forensic express and SQLite. This study produces digital evidence in the form of account information, posts or tweets that have been deleted including text, images and videos from smartphone a rooted.The results of the evidence obtained will be given to the court if needed, to assist in the law enforcement process to uncover digital crime cases.