Name
Abstract | ||
|---|---|---|
As wireless sensor networks continue to grow, so does the need for effective security mechanisms. The classical mechanisms,
namely authentication and encryption, can prevent some outsider attacks; however, these mechanisms are inefficient in detecting
selective forwarding attacks on compromised nodes. On the basis of these observations, we build a trust model to evaluate
nodes behavior. Based on the trust model, a routing framework, TRUSTEE, is further proposed for secure routing. TRUSTEE provides
a flexible and feasible approach to evaluate routes’ quality and chooses route that best meets the security requirements.
Keeping into mind the critical resource constraint nature of sensor network, we do not adopt the energy-consuming monitoring
and trust recommendations mechanisms. Simulation and analysis verify TRUSTEE’s performance, it not only minimizes resource
consumption but also can prevent most outsider attacks, defend selective forwarding attacks and thus significantly increase
the network throughput.
|
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11814856_46 | Wireless Algorithms, Systems, and Applications |
Keywords | Field | DocType |
energy-constrained wireless,selective forwarding attack,effective security mechanism,routing framework,sensor network,network throughput,critical resource constraint nature,minimizes resource consumption,trust-based routing framework,trust recommendations mechanism,trust model,nodes behavior,outsider attack,sensor array,modeling,authentication,cryptography,encryption,behavior model,wireless network,confidence,authentification,distributed system,routing,social psychology | Wireless network,Authentication,Computer science,Cryptography,Computer security,Sensor array,Encryption,Throughput,Energy consumption,Wireless sensor network | Conference |
Volume | ISSN | ISBN |
4138 | 0302-9743 | 3-540-37189-3 |
Citations | PageRank | References |
11 | 0.81 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-fang Cheng | 1 | 24 | 1.57 |
| Xiangke Liao | 2 | 622 | 74.79 |
| Changxiang Shen | 3 | 127 | 14.57 |
| Shanshan Li | 4 | 295 | 53.11 |
| Shaoliang Peng | 5 | 176 | 32.05 |