Name
Title | ||
|---|---|---|
Attack-Resistant Received Signal Strength based Compressive Sensing Wireless Localization. |
Abstract | ||
|---|---|---|
In this paper a three-phase secure compressive sensing (CS) and received signal strength (RSS) based target localization approach is proposed to mitigate the effect of malicious node attack. RSS measurements are first arranged into a group of subsets where the same measurement can be included in multiple subsets. Intermediate target position estimates are then produced using individual subsets of RSS measurements and the CS technique. From the intermediate position estimates, the residual error vector and residual error square vector are formed. The least median of residual error square is utilized to define a verifier parameter. The selected residual error vector is utilized along with a threshold to determine whether a node or measurement is under attack. The final target positions are estimated by using only the attack-free measurements and the CS technique. Further, theoretical analysis is performed for parameter selection and computational complexity evaluation. Extensive simulation studies are carried out to demonstrate the advantage of the proposed CS-based secure localization approach over the existing algorithms. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3837/tiis.2017.09.013 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
compressive sensing,secure wireless localization,received signal strength,attacked measurement,wireless network | Wireless,Computer science,Computer network,Signal strength,Electrical engineering,Compressed sensing | Journal |
Volume | Issue | ISSN |
11 | 9 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Yan | 1 | 27 | 4.53 |
| Kegen Yu | 2 | 556 | 57.05 |
| Yangqin Cao | 3 | 0 | 0.68 |
| liang chen | 4 | 40 | 24.38 |