Back to Search
Start Over
Lightweight Batch AKA Scheme for User-Centric Ultra-Dense Networks
- Source :
- IEEE Transactions on Cognitive Communications and Networking. 6:597-606
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Ultra-dense networks (UDN) are considered as one of the key technologies for advancing the widespread deployment of 5G networks. To provide continuous and reliable connectivity to user devices and to achieve the integrity and authenticity of communication, UDN needs to address the challenges related to authentication and authorization of information. Existing authentication and key agreement (AKA) schemes are not appropriate for the ultra-dense deployment of access points due to excessive authentication and/or computation overhead. This paper proposes a novel lightweight batch authentication and key agreement (LBAKA) scheme for user-centric UDN scenarios by adopting lightweight batch authentication solution and one-to-one key agreement, and by using mutual authentication to verify the credibility of both sides of the communication. The proposed LBAKA can maintain privacy of identity information under replay, impersonation and man-in-the-middle attacks in user-centric UDNs. In terms of computation and communication overhead, our simulation results show that LBAKA outperforms other similar schemes in user-centric UDNs.
- Subjects :
- 021110 strategic, defence & security studies
Authentication
Computer Networks and Communications
business.industry
Computer science
0211 other engineering and technologies
020206 networking & telecommunications
Cryptography
02 engineering and technology
Mutual authentication
Base station
Artificial Intelligence
Hardware and Architecture
Software deployment
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Overhead (computing)
business
5G
Computer network
Subjects
Details
- ISSN :
- 23722045
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Cognitive Communications and Networking
- Accession number :
- edsair.doi...........8665393670a7d441fd491bb755df2060
- Full Text :
- https://doi.org/10.1109/tccn.2020.2982141