|
" Secure and Efficient Data Collection with Access Control and Multicast Schemes for Smart Grid AMI Networks "
Alsharif, Ahmad
Mahmoud, Mohamed
| Document Type
|
:
|
Latin Dissertation
|
| Language of Document
|
:
|
English
|
| Record Number
|
:
|
1104464
|
| Doc. No
|
:
|
TLpq2234295411
|
| Main Entry
|
:
|
Alsharif, Ahmad
|
|
|
:
|
Mahmoud, Mohamed
|
| Title & Author
|
:
|
Secure and Efficient Data Collection with Access Control and Multicast Schemes for Smart Grid AMI Networks\ Alsharif, AhmadMahmoud, Mohamed
|
| College
|
:
|
Tennessee Technological University
|
| Date
|
:
|
2019
|
| student score
|
:
|
2019
|
| Degree
|
:
|
Ph.D.
|
| Page No
|
:
|
166
|
| Abstract
|
:
|
The smart grid (SG) provides two-way communications between the grid’s major components to ensure the reliable operation of the grid. One of the main components of the SG is the advanced metering infrastructure (AMI) networks that enable the automated collection of metering data. Although security and privacy have been addressed for AMI networks, the existing schemes have several limitations and thus we propose in this dissertation several data collection, access control, and multicast schemes to address these limitations. Firstly, existing data collection schemes allow users to periodically report their encrypted power consumption data (PCD) and use data aggregation to preserve privacy. However, if PCD does not change, periodic reporting becomes inefficient and incurs large overhead. A naive solution for an efficient data collection is that each smart meter (SM) reports its encrypted PCD only when it changes. However, using traffic analysis techniques, attackers can reveal consumers’ activities even if the data is encrypted. To address these issues, we propose a privacy-preserving efficient data collection scheme that allows irregular data collection to reduce the communication overhead while ensuring the correctness of the aggregated data. In addition, the proposed scheme can resist traffic analysis and collusion attacks. Secondly, existing schemes consider only single-recipient AMI network model while in a competitive electricity market, multiple entities need to collect PCD of different sets of users. In this case, access control to aggregated PCD is needed. To address this issue, we propose a novel proxy re-encryption scheme to ensure privacy-preserving data aggregation and access control. In the proposed scheme, no entity should have access to individual users’ data to preserve privacy. In addition, each entity should access only the aggregated data intended to it and cannot access the data intended for other competitors. Thirdly, most of the existing schemes do not consider the multi-dimensional nature of PCD and multi-subset aggregation in which the utility should be able to obtain the number of consumers whose consumption lies within a specific range, and the overall consumption of each set of users. To address this issue, we propose an efficient and privacy-preserving multi-dimensional multi-subset data aggregation scheme. In addition, the proposed scheme can resist collusion attacks and allows billing based on dynamic pricing. Lastly, we investigate secure multicast communications for the SG downlink. In order to enable the grid operators and the electricity suppliers to communicate securely with users, secure data multicast is required. However, the IEEE 802.11 protocol, which is the underlying protocol for AMI networks, does not support multicast communication efficiently. In order to address this issue, we propose a novel multi-authority attribute based signcryption scheme that ensures message confidentiality, i.e., no one can decrypt the multicasted messages except the intended users and allows users to authenticate the senders, ensures non-repudiation, and allows attribute revocation.
|
| Subject
|
:
|
Computer Engineering
|
|
|
:
|
Electrical engineering
|
| |