Title :
The Maximum Greedy Algorithm on Privacy Protection Based on Social Network
Author :
Ai Jumei ; Mao Shuhua
Author_Institution :
Key Lab. of Radioactive Geol. & Exploration Technol. Fundamental Sci. for Nat. Defense, East China Inst. of Technol., Fuzhou, China
Abstract :
The flow of information in the network currently existing attacks and malicious damage, a privacy protection algorithm based on the maximum greedy is proposed, the data privacy acts as weights between nodes in network diagram , change these weights to achieve the protection of important data, by obtaining the shortest path way to ensure that efficiency is not influenced ,the experimental results show that this algorithm not only protects data privacy but also efficiently ensures the effectiveness of data.
Keywords :
computer network security; data flow analysis; data privacy; greedy algorithms; social networking (online); data privacy; information flow; malicious damage; maximum Greedy algorithm; network attacks; network diagram; privacy protection; Algorithm design and analysis; Cities and towns; Clustering algorithms; Data privacy; Greedy algorithms; Privacy; Social network services;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660893
