Multireceiver authentication code4: models, bounds, constructions, and extensions
Information and Computation
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
The BiBa one-time signature and broadcast authentication protocol
CCS '01 Proceedings of the 8th ACM conference on Computer and Communications Security
Better than BiBa: Short One-Time Signatures with Fast Signing and Verifying
ACISP '02 Proceedings of the 7th Australian Conference on Information Security and Privacy
Efficient Authentication and Signing of Multicast Streams over Lossy Channels
SP '00 Proceedings of the 2000 IEEE Symposium on Security and Privacy
Ad Hoc Networking
Overlapping Multihop Clustering for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
A taxonomy of multicast data origin authentication: Issues and solutions
IEEE Communications Surveys & Tutorials
A source authentication scheme using network coding
International Journal of Security and Networks
| Hi-index | 0.00 |
Multicast streams are the dominant application traffic pattern in many mission critical ad-hoc networks. The limited computation and communication resources, the large scale deployment and the unguaranteed connectivity to trusted authorities make known security solutions for wired and singlehop wireless networks inappropriate for such application environment. This paper promotes a novel Tiered Authentication scheme for Multicast traffic (TAM) for large scale dense ad-hoc networks. Nodes are grouped into clusters. Multicast traffic within the same cluster employs one-way chains in order to authenticate the message source. Cross-cluster multicast traffic includes a message authentication codes (MACs) that are based on a set of keys. Each cluster uses a unique subset of keys to look for its distinct combination of valid MACs in the message in order to authenticate the source. TAM thus combines the advantages of the secret information asymmetry and the time asymmetry paradigms and exploits network clustering to reduce overhead and ensure scalability. The numerical and analytical results demonstrate the performance advantage of TAM.