Name
Abstract | ||
|---|---|---|
Secure data aggregation (SDA) schemes are widely used in distributed applications, such as mobile sensor networks, to reduce communication cost, prolong the network life cycle and provide security. However, most SDA are only suited for a single type of statistics (i.e., summation-based or comparison-based statistics) and are not applicable to obtaining multiple statistic results. Most SDA are also inefficient for dynamic networks. This paper presents multi-functional secure data aggregation (MFSDA), in which the mapping step and coding step are introduced to provide value-preserving and order-preserving and, later, to enable arbitrary statistics support in the same query. MFSDA is suited for dynamic networks because these active nodes can be counted directly from aggregation data. The proposed scheme is tolerant to many types of attacks. The network load of the proposed scheme is balanced, and no significant bottleneck exists. The MFSDA includes two versions: MFSDA-I and MFSDA-II. The first one can obtain accurate results, while the second one is a more generalized version that can significantly reduce network traffic at the expense of less accuracy loss. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16040583 | SENSORS |
Keywords | Field | DocType |
secure data aggregation,mobile sensor networks,approximate aggregation,cost effective,dynamic networks,network security | Bottleneck,Statistic,Computer science,Network security,Computer network,Coding (social sciences),Data aggregator,Mobile sensor networks,Distributed computing | Journal |
Volume | Issue | ISSN |
16 | 4.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kehua Guo | 1 | 75 | 15.76 |
| Ping Zhang | 2 | 12 | 1.61 |
| Jianhua Ma | 3 | 25 | 2.12 |