It was analyzed to different proposals about cyberbullying to identify online parameters through approaches, models, architecture, algorithm and assessments. The problem is the lack of a security algorithm when sharing information to a social network in Ecuador. The objective is to propose a parameter model to determine cyberbullying on Social Networks in Ecuador. It was used exploration and deductive method for the analysis of information from referenced articles. It resulted in a conceptual model of cyberbullying mitigation, four-layer architecture, indicator detection algorithm expressed in flowchart, and formula for measuring architecture. It was concluded that the algorithm determines indicators to identify harassment on social media, decreases impact at the national level and improves user management when browsing online, according to the simulations the architecture has 93.17% efficiency.
|Title of host publication||Proceedings of the 2020 4th International Conference on Information System and Data Mining, ICISDM 2020|
|Publisher||Association for Computing Machinery|
|Number of pages||8|
|State||Published - 15 May 2020|
|Event||4th International Conference on Information System and Data Mining, ICISDM 2020 - Hilo, United States|
Duration: 15 May 2020 → 17 May 2020
|Name||ACM International Conference Proceeding Series|
|Conference||4th International Conference on Information System and Data Mining, ICISDM 2020|
|Period||15/05/20 → 17/05/20|
Bibliographical notePublisher Copyright:
© 2020 ACM.
Copyright 2020 Elsevier B.V., All rights reserved.
- Cyber bullying
- cyber harassment
- Information Security
- Social Networks