摘要
In recent years, user privacy in online social networks has become an important issue. Existing researches use anonymity techniques to preserve privacy. However traditional anonymity techniques do not support profile matching, thus have limitations in providing services which are based on social network topologies. This means that anonymous users cannot establish relationship or connect with friends if such techniques are used. This paper proposes an anonymous social network framework, which implements profile matching while still allows users to remain anonymous.
延伸閱讀
- Ansah, A. K. K., Zhang, F., & Gyamfi, D. A. (2021). RingCoin: An Accountable Mix for Achieving Bitcoin Anonymity. International Journal of Network Security, 23(3), 504-514. https://doi.org/10.6633/IJNS.202105_23(3).16
- ZHU, L., XIE, H., LIU, Y., GUAN, J., LIU, Y., & XIONG, Y. (2018). PTPP: Preference-Aware Trajectory Privacy-Preserving over Location-Based Social Networks. Journal of Information Science and Engineering, 34(4), 803-820. https://doi.org/10.6688/JISE.201807_34(4).0001
- Lin, Z. W. (2005). Envoy: A Self-Organized Hybrid Peer-to-Peer System [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2005.00649
- Hsu, C. H. (2011). BNSyn: A Quick Behavioral-Level Synthesis Tool [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.10489
- Priyatharsini, G. S., & Visu, P. (2015). DYBACON: An Auditor for Secure Kinetic Cloud Storage. Research Journal of Applied Sciences, Engineering and Technology, 11(1), 70-78. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201509-201601200030-201601200030-70-78