Abstract
Smart City is a promising infrastructure for our near future community systems. It is predicted that more and more sensor devices and computing resources will be deployed in access networks because of the Internet of Things (IoT). This movement can create a wide variety of new applications with different requirements of delay, privacy and locality. Smart community dictates less than 10ms communication as a control interval in order not to disturb the lifeline systems, such as power supply. As such, future devices should have the following attributes: low-power, low-latency, and flexibility for various applications. In this paper, we propose an energy-aware, low-latency, and flexible local device, such as gateway or coordinator, which integrates an SoC FPGA with dynamic partial reconfiguration (DPR) feature to grapple with data anonymization. The data anonymization is important to protect private information in smart community because domestic human activities can be, for example, estimated by exploiting electric power consumption data, which is known as nonintrusive load monitoring (NILM). However, anonymization operations usually require processing cost at the order of O(n2) where n denotes the number of data in a privacy processing window. In case of encapsulating privacy information in a local network, privacy preserving computation should be achieved in a local device. Hence, we have implemented four primitive operations using DPR for various anonymization purposes. The proposed system achieves 18-328 times better performance and 10-200 times lower power consumption in every primitive anonymization method than Raspberry Pi 2 Model B.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 98-103 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509040759 |
| DOIs | |
| Publication status | Published - 2016 Dec 8 |
| Event | 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia Duration: 2016 Nov 6 → 2016 Nov 9 |
Other
| Other | 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 16/11/6 → 16/11/9 |
Fingerprint
Keywords
- Anonymization
- Dynamic partial reconfiguration
- FPGA
- Smart Community
- Zynq
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Control and Optimization
- Signal Processing
Cite this
Hardware accelerator for data anonymization using dynamic partial reconfiguration. / Sawaguchi, Sota; Nishi, Hiroaki.
2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 98-103 7778745.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Hardware accelerator for data anonymization using dynamic partial reconfiguration
AU - Sawaguchi, Sota
AU - Nishi, Hiroaki
PY - 2016/12/8
Y1 - 2016/12/8
N2 - Smart City is a promising infrastructure for our near future community systems. It is predicted that more and more sensor devices and computing resources will be deployed in access networks because of the Internet of Things (IoT). This movement can create a wide variety of new applications with different requirements of delay, privacy and locality. Smart community dictates less than 10ms communication as a control interval in order not to disturb the lifeline systems, such as power supply. As such, future devices should have the following attributes: low-power, low-latency, and flexibility for various applications. In this paper, we propose an energy-aware, low-latency, and flexible local device, such as gateway or coordinator, which integrates an SoC FPGA with dynamic partial reconfiguration (DPR) feature to grapple with data anonymization. The data anonymization is important to protect private information in smart community because domestic human activities can be, for example, estimated by exploiting electric power consumption data, which is known as nonintrusive load monitoring (NILM). However, anonymization operations usually require processing cost at the order of O(n2) where n denotes the number of data in a privacy processing window. In case of encapsulating privacy information in a local network, privacy preserving computation should be achieved in a local device. Hence, we have implemented four primitive operations using DPR for various anonymization purposes. The proposed system achieves 18-328 times better performance and 10-200 times lower power consumption in every primitive anonymization method than Raspberry Pi 2 Model B.
AB - Smart City is a promising infrastructure for our near future community systems. It is predicted that more and more sensor devices and computing resources will be deployed in access networks because of the Internet of Things (IoT). This movement can create a wide variety of new applications with different requirements of delay, privacy and locality. Smart community dictates less than 10ms communication as a control interval in order not to disturb the lifeline systems, such as power supply. As such, future devices should have the following attributes: low-power, low-latency, and flexibility for various applications. In this paper, we propose an energy-aware, low-latency, and flexible local device, such as gateway or coordinator, which integrates an SoC FPGA with dynamic partial reconfiguration (DPR) feature to grapple with data anonymization. The data anonymization is important to protect private information in smart community because domestic human activities can be, for example, estimated by exploiting electric power consumption data, which is known as nonintrusive load monitoring (NILM). However, anonymization operations usually require processing cost at the order of O(n2) where n denotes the number of data in a privacy processing window. In case of encapsulating privacy information in a local network, privacy preserving computation should be achieved in a local device. Hence, we have implemented four primitive operations using DPR for various anonymization purposes. The proposed system achieves 18-328 times better performance and 10-200 times lower power consumption in every primitive anonymization method than Raspberry Pi 2 Model B.
KW - Anonymization
KW - Dynamic partial reconfiguration
KW - FPGA
KW - Smart Community
KW - Zynq
UR - http://www.scopus.com/inward/record.url?scp=85010189067&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010189067&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm.2016.7778745
DO - 10.1109/SmartGridComm.2016.7778745
M3 - Conference contribution
AN - SCOPUS:85010189067
SP - 98
EP - 103
BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -