The knowledge complexity of interactive proof systems
SIAM Journal on Computing
Automatic Subspace Clustering of High Dimensional Data
Data Mining and Knowledge Discovery
Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
HICCUPS: health information collaborative collection using privacy and security
Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
DENCLUE 2.0: fast clustering based on kernel density estimation
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
ICT for green: how computers can help us to conserve energy
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Challenges in resource monitoring for residential spaces
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
VPriv: protecting privacy in location-based vehicular services
SSYM'09 Proceedings of the 18th conference on USENIX security symposium
PrETP: privacy-preserving electronic toll pricing
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
GasSense: appliance-level, single-point sensing of gas activity in the home
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof
IEEE Transactions on Consumer Electronics
Privacy-friendly aggregation for the smart-grid
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
I have a DREAM!: differentially private smart metering
IH'11 Proceedings of the 13th international conference on Information hiding
Differentially private billing with rebates
IH'11 Proceedings of the 13th international conference on Information hiding
Protecting against physical resource monitoring
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Privacy-preserving smart metering
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Televisions, video privacy, and powerline electromagnetic interference
Proceedings of the 18th ACM conference on Computer and communications security
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Smart metering de-pseudonymization
Proceedings of the 27th Annual Computer Security Applications Conference
Fast track article: Balancing behavioral privacy and information utility in sensory data flows
Pervasive and Mobile Computing
A practical smart metering system supporting privacy preserving billing and load monitoring
ACNS'12 Proceedings of the 10th international conference on Applied Cryptography and Network Security
Fault-tolerant privacy-preserving statistics
PETS'12 Proceedings of the 12th international conference on Privacy Enhancing Technologies
Investigating receptiveness to sensing and inference in the home using sensor proxies
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Minimizing private data disclosures in the smart grid
Proceedings of the 2012 ACM conference on Computer and communications security
Neighborhood watch: security and privacy analysis of automatic meter reading systems
Proceedings of the 2012 ACM conference on Computer and communications security
Privacy is a process, not a PET: a theory for effective privacy practice
Proceedings of the 2012 workshop on New security paradigms
Minimizing intrusiveness in home energy measurement
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
V2GPriv: vehicle-to-grid privacy in the smart grid
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
Security and privacy threats in IoT architectures
Proceedings of the 7th International Conference on Body Area Networks
Re-identification of Smart Meter data
Personal and Ubiquitous Computing
Privacy-preserving release of aggregate dynamic models
Proceedings of the 2nd ACM international conference on High confidence networked systems
Privacy-friendly tasking and trading of energy in smart grids
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Privacy-preserving smart metering with regional statistics and personal enquiry services
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Privacy-preserving smart metering with multiple data Consumers
Computer Networks: The International Journal of Computer and Telecommunications Networking
A cloud-based consumer-centric architecture for energy data analytics
Proceedings of the fourth international conference on Future energy systems
Protection of consumer data in the smart grid compliant with the German smart metering guideline
Proceedings of the first ACM workshop on Smart energy grid security
Analysis of the impact of data granularity on privacy for the smart grid
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
Occupancy Detection from Electricity Consumption Data
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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Household smart meters that measure power consumption in real-time at fine granularities are the foundation of a future smart electricity grid. However, the widespread deployment of smart meters has serious privacy implications since they inadvertently leak detailed information about household activities. In this paper, we show that even without a priori knowledge of household activities or prior training, it is possible to extract complex usage patterns from smart meter data using off-the-shelf statistical methods. Our analysis uses two months of data from three homes, which we instrumented to log aggregate household power consumption every second. With the data from our small-scale deployment, we demonstrate the potential for power consumption patterns to reveal a range of information, such as how many people are in the home, sleeping routines, eating routines, etc. We then sketch out the design of a privacy-enhancing smart meter architecture that allows an electric utility to achieve its net metering goals without compromising the privacy of its customers.