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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bruce, Ndibanje Lee, Hoon Jae Sain, Mangal Kang, Young Jin |
| Abstract | The evolution of digital communication includes both applications and devices running them. In this context, specific applications are needed to enhance a safeguard communication ensuring protection and trust services to the users. The growing need to address privacy concerns when social network data is released for mining purposes has recently led to considerable interest in various network security-based applications. In this paper, we develop an efficiency and adaptive network security-based application to ensure the privacy and data integrity across channel communications. This approach is designed on a model of clustering configuration of the involved members. The cluster members interact with the cluster leader for data exchange and sends to the base station. This scheme provides a strong mutual authentication framework that suits for real heterogeneous wireless applications. In addition, we contribute with a mathematical analysis to the delay and optimization analysis in a clustering topology node-based, also we compared the scheme with existing ones using security standards services. Finally, performance of this scheme is evaluated in term of computation and communication overhead; results show the present framework is efficiency and can be safeguard for Network Security-based applications. |
| Starting Page | 1002 |
| Ending Page | 1009 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450338547 |
| DOI | 10.1145/2808797.2808808 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-08-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mutual authentication Protocols Algorithms Applications Network security |
| Content Type | Text |
| Resource Type | Article |
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