Name
Abstract | ||
|---|---|---|
A wide-area measurement system (WAMS) is a system that provides a time-synchronized view of electrical conditions over a large geographical area, thereby enhancing the situational awareness of the energy management system of a power grid. With this enhanced situational awareness, utilities would be able to react promptly to contingencies, and prevent large-scale blackouts. To secure WAMS communications, we propose WAMS key management (WAKE), a comprehensive key management scheme targeting a concrete set of security objectives derived from NIST's security impact level ratings. For security objectives involving unicast, WAKE employs industry- standard security protocols. For security objectives involving multicast, we show the scheme standardized by the IEC is inadequate, and identify multicast authentication as a requirement. We investigate two recent multicast authentication schemes designed for power grid communications: TV-HORS and tunable signing and verification (TSV), which supposedly improves on TV-HORS. We show that TSV is vulnerable, and propose a patched version of TSV called TSV+. Systematic comparison of TV-HORS and TSV+ shows that TV-HORS provides significantly more efficient signing and verification for the same security level at the expense of signature size. Consequently, TV-HORS is chosen as part of WAKE for multicast authentication. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MCOM.2013.6400436 | IEEE Communications Magazine |
Keywords | DocType | Volume |
WAKE,TV-HORS,NIST security impact level ratings,TSV,multicast authentication,tunable signing and verification,WAMS key management,power system measurement,energy management system,energy management systems,WAMS communications,smart power grids,cryptographic protocols,smart grid,power grid communications,wide-area measurement systems,message authentication,situational awareness,security protocols,multicast communication | Journal | 51 |
Issue | ISSN | Citations |
1 | 0163-6804 | 3 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yee Wei Law | 1 | 290 | 23.84 |
| M. Palaniswami | 2 | 4107 | 290.84 |
| Gina Kounga | 3 | 15 | 2.82 |
| Anthony C. C. Lo | 4 | 52 | 9.64 |