MSIAP: A Dynamic Searchable Encryption for Privacy-Protection on Smart Grid With Cloud-Edge-End

Fan, Kai; Chen, Qi; Su, Ruidan; Wang, Haoyang; Li, Hui; Yang, Yintang

doi:10.1109/tcc.2021.3134015

Cited by 17 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding searchable encryption, recent studies have a focus on dynamic schemes that allow operations of insert, update, or delete to be carried out directly on the encrypted data. Such studies in this direction are [36][37][38]. In addition, searchable encryption is used for biometric authentication-namely, the operations within the authentication process that are made directly over encrypted biometric data, without a need for decryption while applying the computations.…”

Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

View full text Add to dashboard Cite

Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest concerns is represented by storing sensitive data on remote servers, which can be found to be extremely challenging within different situations related to privacy. Searchable Encryption (SE) represents a particular case of Fully Homomorphic Encryption (FHE) and at the same time represents a method composed from a set of algorithms meant to offer protection for users’ sensitive data, while it preserves the searching functionality on the server-side. There are two main types of SE: Searchable Symmetric Encryption (SSE), where the ciphertexts and trapdoors for searching are performed using private key holders, and Public Key Searchable Encryption (PKSE), in which a specific number of users have the public key based on which are capable of outputting ciphertexts and giving the possibility of producing the trapdoors by using the private key from the holder. In this article, we propose a searchable encryption system that uses biometric authentication. Additionally, biometric data are used in the trapdoor generation process, such that an unauthorized user cannot submit search queries. The proposed system contains three components: classic user authentication (based on username, password, and a message with a code using short message service (SMS), biometric authentication, and the searchable encryption scheme. The first two components can be seen as two-factor authentication (2FA), and the second component represents the initialization step of the searchable encryption scheme. In the end, we show and demonstrate that the proposed scheme can be implemented with success for medium to complex network infrastructures. We have granted special attention to the trapdoor function, which generates a value that can be used to perform the search process and search function that is based on the trapdoor pair for searching within the index structure. We provide the correctness and security proof of the operations, which gives us the guarantee that the cloud servers return the correct documents. Additionally, we discuss measuring the performance of the authentication scheme in terms of performance indicators, introducing two indicators for measuring purposes—namely, cloud average number of non-legitim the user actions for cloud purposes (CANNL) and cloud average number of legitim user actions (CANLU).

show abstract

Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

View full text Add to dashboard Cite

show abstract

“…A significant amount of research has been conducted to improve the security of smart grid infrastructure. This paper looked at fault tolerance and secure data aggregation in SG [12]. One of Smart Grid technology's most notable features is its ability to support bidirectional connectivity, which, unlike the previous grid, enables the movement of energy-related data to and from hardware, software, and entities [13].…”

Section: Introductionmentioning

confidence: 99%

Dual Attention Graph Convolutional Network optimized with the Sun Flower Optimization for Differential Privacy Protection Mechanism for Smart Grid against Security Attacks

Hailin Wang

2024

jes

View full text Add to dashboard Cite

A smart grid combines information and communication technology with the conventional power system to provide efficient and dependable electricity generation, transmission, distribution, and control. Utilities and users share information and electricity in a smart grid. This manuscript presents a Dual Attention Graph Convolutional Network (DAGCN) optimized with the Sun Flower Optimization Algorithm (SFO) predicting the differential privacy protection mechanism for smart grid (DPSG-DAGCN-SFO). Initially, the data is collected from NSL-KDD datasets. Afterward, the data is fed to an Adaptive Robust Cubature Kalman Filter (ARCKF) based preprocessing process. Then the preprocessed data’s are fed to Adaptive and Concise Empirical Wavelet Transform (ACEWT)for extracting features such as authentication, integrity and trusted authority. The extracted features are fed to Dual Attention Graph Convolutional Network (DAGCN)to classify the privacy protection in smart grid such as stealthy attack and no attack. The weight parameters of DAGCN are optimized using SFO. The proposed DPSG-DAGCN-SFO is implemented in python, effectiveness assessed by several performance metrics such as accuracy, error rate, precision, sensitivity, F1-score and recall. The proposed method error rate attains 2% stealthy attack and4% no attack of the of the privacy protection in smart grid. The proposed method shows better results in all existing systems like Bayesian Clustering Algorithm (BCA), Self-Adaptive Grid-Partitioning Algorithm (SGNA) and Elliptic Curve Digital Signature Algorithm (ECDSA).From the result it is concludes that the proposed DPSG-DAGCN-SFO method based error rate lower than the existing methods.

show abstract

“…Searchable encryption is considered an effective solution to achieve secure data sharing, which can implement search requirements under the premise of ensuring security and privacy. Based on the unique advantage, searchable encryption is widely used in various fields of secure data sharing, such as industrial internet of things [3], healthy care [4] and smart grid [5]. In related research on searchable encryption, multi-keyword ranked searchable encryption (MRSE) [6][7][8][9] allows data users to search using multiple keywords.…”

Section: Introductionmentioning

confidence: 99%

A trustworthy and reliable multi-keyword search in blockchain-assisted cloud-edge storage

Liu,

Zhang,

Huang

et al. 2024

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

Edge computing has low transmission delay and unites more agile interconnected devices spread across geographies, which enables cloud-edge storage more suitable for distributed data sharing. This paper proposes a trustworthy and reliable multi-keyword search (TRMS) in blockchain-assisted cloud-edge storage, where data users can choose a faster search based on edge servers or a wider search based on cloud servers. To acquire trustworthy search results and find reliable servers, the blockchain-based smart contract is introduced in our scheme, which will execute the search algorithm and update the score-based trust management model. In this way, search results and trust scores will be published and recorded on the blockchain. By checking search results, data users can judge whether the returned documents are top-k documents. Based on the trust management model, we can punish the malicious behavior of search servers, while data users can choose more reliable servers based on trust scores. To improve efficiency, we design a threshold-based depth-first search algorithm. Security analysis and extensive experiments are conducted to prove the security and efficiency of the proposed scheme.

show abstract

MSIAP: A Dynamic Searchable Encryption for Privacy-Protection on Smart Grid With Cloud-Edge-End

Cited by 17 publications

References 40 publications

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Dual Attention Graph Convolutional Network optimized with the Sun Flower Optimization for Differential Privacy Protection Mechanism for Smart Grid against Security Attacks

A trustworthy and reliable multi-keyword search in blockchain-assisted cloud-edge storage

Contact Info

Product

Resources

About