Cloud Database Analysis of Instant Messaging Apps on Mobile Devices
Source abstract
Abstract
The purpose of this paper is to present the creation, challenges and difficulties of four utility apps to increase production on Android handheld devices. The motivation of creating the apps and the problems encountered during creation are highlighted. The first app is a fast emoji app for WhatsApp. The motivation for creating such an app is that usually phone users do not like to type too much; with this app, they can communicate with each other just by sending emojis. The second app is a standalone emoji sender app, which does the same thing as the previous app but uses its own database, not the WhatsApp database.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Peer-to-Peer Network Technologies · Multimedia Communication and Technology · Green IT and Sustainability
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Affiliations
Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timisoara, Vasile Parvan Av., No. 2, 300223 Timisoara, Romania
Funding
Politehnica University Timisoara, Romania
References (16)
Show source-provided references
1. Network Energy Consumption Assessment of Conventional Mobile Services, Over-the-Top Instant Messaging Applications10.1109/JSAC.2016.2611978 ↗
2. A Text-Driven Conversational Avatar Interface for Instant Messaging on Mobile Devices10.1109/TSMC.2013.2250498 ↗
3. A Model for Social Communication Network in Mobile Instant Messaging Systems10.1109/TCSS.2019.2958968 ↗
4. Low Power Consumption Solutions for Mobile Instant Messaging10.1109/TMC.2011.123 ↗
5. Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps10.1109/TMC.2016.2516020 ↗
6. A Scalable Server Architecture for Mobile Presence Services in Social Network Applications10.1109/TMC.2011.263 ↗
7. Power-Constrained Quality Optimization for Mobile Video Chatting With Coding-Transmission Adaptation10.1109/TMC.2020.2990374 ↗
8. Next-Generation Applications on Cellular Networks: Trends, Challenges, and Solutions10.1109/JPROC.2011.2182092 ↗
9. Safety-Message Broadcast in Vehicular Ad Hoc Networks Based on Protocol Sequences10.1109/TVT.2013.2279857 ↗
10. Securing Warning Message Dissemination in VANETs Using Cooperative Neighbor Position Verification10.1109/TVT.2014.2344633 ↗
11. A Dynamic Trust Framework for Opportunistic Mobile Social Networks10.1109/TNSM.2017.2776350 ↗
12. Speaking Haptically: From Phonemes to Phrases With a Mobile Haptic Communication System10.1109/TOH.2021.3054812 ↗
13. Johansen, C., Mujaj, A., Arshad, H., and Noll, J. (2019). The Snowden Phone: A Comparative Survey of Secure Instant Messaging Mobile Applications. arXiv.
14. Bahramali, A., Soltani, R., Houmansadr, A., Goeckel, D., and Towsley, D. (2020, January 23–26). Practical Traffic Analysis Attacks on Secure Messaging Applications. Proceedings of the Network and Distributed Systems Security (NDSS), San Diego, CA, USA.10.14722/ndss.2020.24347 ↗
15. Singh, R., Singh Chauhan, A.N., and Tewari, H. (2021). Blockchain-Enabled End-to-End Encryption for Instant Messaging Applications. arXiv.10.1109/WoWMoM54355.2022.00078 ↗
16. Fang, Q., Zhou, Z., Barbieri, F., Liu, Y., Neves, L., Nguyen, D., Oberski, D.L., Bos, M.W., and Dotsch, R. (2024, January 14–18). General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, USA.10.1145/3626772.3657908 ↗