Storify : Protecting privacy of social media post with hash-based anonymity
In year 2020, the number of users using social networking has exceeded 3.6 billions out of 7.6 billions people, which is 47% of the populations. There are some famous social media applications that are widely used worldwide, which are Facebook, Twitter, Snapchat and many more. However, social media...
Saved in:
主要作者: | Jackie Chin Yong An |
---|---|
格式: | Academic Exercise |
語言: | English English |
出版: |
2022
|
主題: | |
在線閱讀: | https://eprints.ums.edu.my/id/eprint/33340/1/STORIFY%20%2C%20Protecting%20Privacy%20of%20Social%20Media%20Post%20with%20Hash-based%20Anonymity.24pages.pdf https://eprints.ums.edu.my/id/eprint/33340/2/STORIFY%20%2C%20Protecting%20Privacy%20of%20Social%20Media%20Post%20with%20Hash-based%20Anonymity.pdf https://eprints.ums.edu.my/id/eprint/33340/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A trustworthy, reliable and lightweight privacy and data integrity approach for the internet of things
由: Rahim Khan, et al.
出版: (2022) -
Talkout : Protecting mental health application with a lightweight message encryption
由: Gavin Teo Juen
出版: (2022) -
Critical success factors for ERP systems’ post-implementations of SMEs in Saudi Arabia: a top management and vendors’ perspective
由: Sayeed Haider Salih, et al.
出版: (2022) -
Feature Selection For The Fuzzy Artmap Neural Network Using A Hybrid Genetic Algorithm And Tabu Search [QA76.87. T164 2007 f rb].
由: Tang, Weng Chin
出版: (2007) -
A multi-filter feature selection in detecting distributed denial-of-service attack
由: Yon, Yi Jun, et al.
出版: (2019)