Abstract
With the number of Electric Vehicles (EVs) increasing, there is a growing need to schedule the charging of EVs in order to optimize grid load and improve stability. Charging scheduling involves several communications between the EV and the charging station (state of charge and time of arrival) happening either immediately before charging or at some earlier point in time. On account of privacy concerns and the potential for tracking of the users and their behaviors, the reporting of information from the EV to the charging station needs to be anonymous. Communications also need to be authenticated by the charging station to defend against external attacks. Additionally, this anonymity should be revocable to identify malicious, misbehaving users. In this paper, we leverage federated trust management and propose a revocable anonymous authentication framework that achieves the above desirable functionalities for reporting and interaction between an EV and the charging station. Using our framework, an EV can communicate with the charging station using anonymous pseudonyms that cannot be linked to its identity by the charging station alone. If the EV's anonymity needs to be revoked, the charging station can identify the EV with the help of the federated trust entities. We also present a proof mechanism that an EV can use to prove it did not misbehave. Security analysis and experiments demonstrate that our framework is secure, robust, scalable, and light-weight.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 351-356 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509040759 |
| DOIs | |
| State | Published - Dec 8 2016 |
| Event | 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia Duration: Nov 6 2016 → Nov 9 2016 |
Other
| Other | 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 11/6/16 → 11/9/16 |
Fingerprint
Keywords
- authentication
- EV charging
- revocable anonymity
- Smart grid
- threshold-secret sharing
- V2G communications
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Control and Optimization
- Signal Processing
Cite this
Revocable anonymity based authentication for vehicle to grid (V2G) communications. / Kilari, Vishnu Teja; Misra, Satyajayant; Xue, Guoliang.
2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 351-356 7778786.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Revocable anonymity based authentication for vehicle to grid (V2G) communications
AU - Kilari, Vishnu Teja
AU - Misra, Satyajayant
AU - Xue, Guoliang
PY - 2016/12/8
Y1 - 2016/12/8
N2 - With the number of Electric Vehicles (EVs) increasing, there is a growing need to schedule the charging of EVs in order to optimize grid load and improve stability. Charging scheduling involves several communications between the EV and the charging station (state of charge and time of arrival) happening either immediately before charging or at some earlier point in time. On account of privacy concerns and the potential for tracking of the users and their behaviors, the reporting of information from the EV to the charging station needs to be anonymous. Communications also need to be authenticated by the charging station to defend against external attacks. Additionally, this anonymity should be revocable to identify malicious, misbehaving users. In this paper, we leverage federated trust management and propose a revocable anonymous authentication framework that achieves the above desirable functionalities for reporting and interaction between an EV and the charging station. Using our framework, an EV can communicate with the charging station using anonymous pseudonyms that cannot be linked to its identity by the charging station alone. If the EV's anonymity needs to be revoked, the charging station can identify the EV with the help of the federated trust entities. We also present a proof mechanism that an EV can use to prove it did not misbehave. Security analysis and experiments demonstrate that our framework is secure, robust, scalable, and light-weight.
AB - With the number of Electric Vehicles (EVs) increasing, there is a growing need to schedule the charging of EVs in order to optimize grid load and improve stability. Charging scheduling involves several communications between the EV and the charging station (state of charge and time of arrival) happening either immediately before charging or at some earlier point in time. On account of privacy concerns and the potential for tracking of the users and their behaviors, the reporting of information from the EV to the charging station needs to be anonymous. Communications also need to be authenticated by the charging station to defend against external attacks. Additionally, this anonymity should be revocable to identify malicious, misbehaving users. In this paper, we leverage federated trust management and propose a revocable anonymous authentication framework that achieves the above desirable functionalities for reporting and interaction between an EV and the charging station. Using our framework, an EV can communicate with the charging station using anonymous pseudonyms that cannot be linked to its identity by the charging station alone. If the EV's anonymity needs to be revoked, the charging station can identify the EV with the help of the federated trust entities. We also present a proof mechanism that an EV can use to prove it did not misbehave. Security analysis and experiments demonstrate that our framework is secure, robust, scalable, and light-weight.
KW - authentication
KW - EV charging
KW - revocable anonymity
KW - Smart grid
KW - threshold-secret sharing
KW - V2G communications
UR - http://www.scopus.com/inward/record.url?scp=85010211042&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010211042&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm.2016.7778786
DO - 10.1109/SmartGridComm.2016.7778786
M3 - Conference contribution
AN - SCOPUS:85010211042
SP - 351
EP - 356
BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -