Paper Info
Title
Secure and efficient context data collection using Content-Centric Networking
Abstract
Context data collection is a fundamental and important process for realizing context-aware recommender or personalization systems. The existing context data collection approaches are based-on traditional TCP/IP that has several disadvantages such as lack of mobility and security. On the other hand, Content-Centric Networking (CCN) provides advantages in terms of mobility, security, and bandwidth efficiency compared to TCP/IP. In this paper, we propose a secure and efficient context data collection and provision approach based on CCN. Simulation results show that this approach can reduce bandwidth consumption by 52.7%-98.9% in comparison to a TCP/IP-based one.
Year
DOI
Venue
2013
10.1109/ICCW.2013.6649390
ICC Workshops
Keywords
Field
DocType
bandwidth efficiency,traditional tcp/ip,mobility management (mobile radio),secure context data collection,ccn,ubiquitous computing,transport protocols,resource management,context-aware personalization,mobility,efficient context data collection,context data collection,content-centric networking,security,bandwidth consumption,context-aware recommender,cryptography,data collection,bandwidth
Data collection,Computer science,Computer network,Bandwidth (signal processing),Spectral efficiency,Content centric networking,Ubiquitous computing,Personalization
Conference
ISSN
Citations 
PageRank 
2164-7038
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Sin-Seok Seo1879.84
Joon-Myung Kang232926.94
Alberto Leon-Garcia31718264.79
Yoonseon Han4296.03
James Won-Ki Hong5713122.26