EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

Lu, Rongxing; Liang, Xiaohui; Xu, Li; Lin, Xiaodong; Shen, Xuemin

doi:10.1109/tpds.2012.86

Cited by 640 publications

(79 citation statements)

References 24 publications

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“…20 bits) [4,52]. However, the plaintext input size of most existing homomorphic cryptosystems is huge [3,52], for example 2048 bits for the widely-used Paillier cryptosystem [42,48,50,52].…”

Section: Discussionmentioning

confidence: 99%

“…As a result, the input data has to be padded before encryption and the size of the output is also large. Given the high frequency of data collection and the number of deployed smart meters, this will result in unacceptable communication overhead on the network, and also high processing burden on the smart meters with limited computational capabilities [52,62]. Aggregation schemes that construct and utilize the spanning-tree, for instance by Li et al [18], also do not consider performance issues.…”

Section: Discussionmentioning

confidence: 99%

“…Acs and Castelluccia [51] suggest a solution using masking and differential privacy and utilizing the homomorphic properties of a computationally-cheap cryptosystem for private data aggregation. Lu et al [52] propose an Efficient and Privacy-Preserving Aggregation (EPPA) for smart grid communications by structuring multidimensional data and encrypting them with the Paillier cryptosystem. Erkin et al [3] study different existing secure signal processing mechanisms in SGNs and compare different existing cryptographic methods in terms of computational complexity, efficiency, and imposed overhead.…”

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confidence: 99%

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Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Alamatsaz¹,

Boustani²,

Alamatsaz³

et al. 2017

IJCNC

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Recent changes to the existing power grid are expected to influence the way energy is pro-vided and consumed by customers. Advanced Metering Infrastructure (AMI) is a tool to incorporate these changes for modernizing the electricity grid. Growing energy needs are forcing government agencies and utility companies to move towards AMI systems as part of larger smart grid initiatives. The smart grid promises to enable a more reliable, sustainable, and efficient power grid by taking advantage of information and communication technologies. However, this information-based power grid can reveal sensitive private information from the user's perspective due to its ability to gather highly-granular power consumption data. This has resulted in limited consumer acceptance and proliferation of the smart grid. Hence, it is crucial to design a mechanism to prevent the leakage of such sensitive consumer usage information in smart grid. Among different solutions for preserving consumer privacy in Smart Grid Networks (SGN), private data aggregation techniques have received a tremendous focus from security researchers. Existing privacy-preserving aggregation mechanisms in SGNs utilize cryptographic techniques, specifically homomorphic properties of public-key cryptosystems. Such homomorphic approaches are bandwidth-intensive (due to large output blocks they generate), and in most cases, are computationally complex. In this paper, we present a novel and efficient CDMA-based approach to achieve privacy-preserving aggregation in SGNs by utilizing random perturbation of power consumption data and with limited use of traditional cryptography. We evaluate and validate the efficiency and performance of our proposed privacy-preserving data ag-gregation scheme through extensive statistical analyses and simulations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Alamatsaz¹,

Boustani²,

Alamatsaz³

et al. 2017

IJCNC

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show abstract

“…In order to reduce computational overheads after aggregation and prevent the middle nodes or aggregator from compromising the individual data, additional homomorphic encryption occurs, in which the encrypted individual measurements are added to generate the ciphertext of sum, and then is decrypted into the plaintext of the sum. In [8,9,10,11,12,13,14,15], the proposed homomorphic encryption does not need sequential decryptions at the aggregator, so aggregation time is short and overhead is low. Garcia et al in [11] provide a privacy-preserving aggregation scheme without compromising individual data with secret sharing and Paillier homomorphic encryption.…”

Section: Introductionmentioning

confidence: 99%

EPPRD: An Efficient Privacy-Preserving Power Requirement and Distribution Aggregation Scheme for a Smart Grid

Zhang

2017

Sensors

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A Smart Grid (SG) facilitates bidirectional demand-response communication between individual users and power providers with high computation and communication performance but also brings about the risk of leaking users’ private information. Therefore, improving the individual power requirement and distribution efficiency to ensure communication reliability while preserving user privacy is a new challenge for SG. Based on this issue, we propose an efficient and privacy-preserving power requirement and distribution aggregation scheme (EPPRD) based on a hierarchical communication architecture. In the proposed scheme, an efficient encryption and authentication mechanism is proposed for better fit to each individual demand-response situation. Through extensive analysis and experiment, we demonstrate how the EPPRD resists various security threats and preserves user privacy while satisfying the individual requirement in a semi-honest model; it involves less communication overhead and computation time than the existing competing schemes.

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“…[7] is based on the hybrid recommendation system from the perspective of the types, architectures, and applications, algorithm to overcome the encryption and decryption using mesh topology [8] proposes an idea to transmit only when a significant power consumption change occurs using link budget or signal processing algorithms, CAT, AMI, [9] proposes efficient and privacy-preserving aggregation scheme, named EPPA, for smart grid communications using three algorithms like key generation, encryption and decryption. [10] proposes frequency agility-based interference avoidance algorithm, ZigBee protocol to detect interference and adaptively switch nodes to "safe" channel to avoid WLAN interference with small accuracy and small energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Secured Data Transmission Using Elliptic Curve Cryptography

A¹

2015

IJIRCCE

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Secured data transmission using elliptic curve cryptography can be defined as transmission of data. This paper proposes an survey about Secured data transmission using elliptic curve cryptography. The main problem in existing system is security issues in transmitting data between source and the destination. After the survey on various literature papers, we are concluding a new way, that increases security considerations of the network using AODV algorithm for transfer of data and to increment the efficiency of AODV algorithm using ECC(Elliptic Curve Cryptography). Efficiency, and reliability will be increased for each transmission of data, While enclosing the proposed method by using the ECC algorithm which allow itself to encrypt and decrypt the data that is to be transferred and performs the active classification, we are concluding that the Secured data transmission using elliptic curve cryptography provide a efficiency higher than DSDV when compared with AODV.A computer network, or simply a network, is a collection of computers and other hardware interconnected by communication channels that allow sharing of resources and information. Using a network, people can communicate efficiently and easily via email, instant messaging, chat rooms, telephone, video telephone calls, and video conferencing. In a network environment, authorized users may access data and information stored on written for the client process, which initiates the communication, and for the server process, which waits for the communication to be initiated. Both endpoints of the communication flow are implemented as network sockets; hence network programming is basically socket programming.Networks are often classified by their physical or organizational extent or their purpose. Usage, trust level, and access rights differ between these types of networks.

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EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

Cited by 640 publications

References 24 publications

Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

EPPRD: An Efficient Privacy-Preserving Power Requirement and Distribution Aggregation Scheme for a Smart Grid

Secured Data Transmission Using Elliptic Curve Cryptography

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