Low Overhead Smooth Mobile Content Sharing Using Content Centric Networking (CCN)

2011 ◽  
Vol E94-B (10) ◽  
pp. 2751-2754 ◽  
Author(s):  
Jihoon LEE ◽  
Seungwoo JEON
Keyword(s):  
Content Centric Networking ◽  
Content Sharing

scholarly journals A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5509 ◽  
Author(s):  
Saad Aslam ◽  
Fakhrul Alam ◽  
Syed Faraz Hasan ◽  
Mohammad Rashid
Keyword(s):  
Clustering Algorithm ◽  
Content Distribution ◽  
Network Virtualization ◽  
Cellular Systems ◽  
Common Interest ◽  
Performance Parameters ◽  
Distributed Architecture ◽  
Content Centric Networking ◽  
Content Sharing ◽  
Weighted Clustering

Next generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this article, we utilize Content-Centric Networking and Network Virtualization to propose a distributed architecture, that supports efficient content delivery. We propose to use clustering at the user level for content-distribution. A weighted multifactor clustering algorithm is proposed for grouping the D2D User Equipment (DUEs) sharing a common interest. The proposed algorithm is evaluated in terms of energy efficiency, area spectral efficiency, and throughput. The effect of the number of clusters on these performance parameters is also discussed. The proposed algorithm has been further modified to allow for a tradeoff between fairness and other performance parameters. A comprehensive simulation study demonstrates that the proposed clustering algorithm is more flexible and outperforms several classical and state-of-the-art algorithms.

scholarly journals Designing Privacy-Preserving Protocols for Content Sharing and Aggregation in Content Centric Networking

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 42119-42130
Author(s):  
Shahriar Badsha ◽  
Ibrahim Khalil ◽  
Xun Yi ◽  
Mohammed Atiquzzaman
Keyword(s):  
Privacy Preserving ◽  
Content Centric Networking ◽  
Content Sharing

Conflict Detection Techniques for Preserving Privacy in Social Media

2018 ◽  
pp. 78-85
Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil
Keyword(s):  
Social Media ◽  
Privacy Management ◽  
Crucial Importance ◽  
Network Integration ◽  
Critical Problem ◽  
Detection Techniques ◽  
Privacy Preferences ◽  
Content Sharing ◽  
Privacy Settings ◽  
Relationship Network

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.

Verification of Content-Centric Networking Using Proof Assistant

2016 ◽  
Vol E99.B (11) ◽  
pp. 2297-2304
Author(s):  
Sosuke MORIGUCHI ◽  
Takashi MORISHIMA ◽  
Mizuki GOTO ◽  
Kazuko TAKAHASHI
Keyword(s):  
Proof Assistant ◽  
Content Centric Networking
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