Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges

Gupta, Rajesh; Tanwar, Sudeep; Al‐Turjman, Fadi; Italiya, Prit; Nauman, Ali; Kim, Sung Won

doi:10.1109/access.2020.2970576

Cited by 185 publications

(74 citation statements)

References 110 publications

(120 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…act j (14) Here, the summation symbol represents the addition operation, where σ ∈ (0,1). Particularly,if σ = 1/p, the output is the average value.…”

Section: ) Convolutional Neural Network (Cnn)mentioning

confidence: 99%

See 1 more Smart Citation

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

With the advancements in machine and deep learning algorithms, the envision of various critical real-life applications in computer vision becomes possible. One of the applications is facial sentiment analysis. Deep learning has made facial expression recognition the most trending research fields in computer vision area. Recently, deep learning-based FER models have suffered from various technological issues like under-fitting or over-fitting. It is due to either insufficient training and expression data. Motivated from the above facts, this paper presents a systematic and comprehensive survey on current state-of-art Artificial Intelligence techniques (datasets and algorithms) that provide a solution to the aforementioned issues. It also presents a taxonomy of existing facial sentiment analysis strategies in brief. Then, this paper reviews the existing novel machine and deep learning networks proposed by researchers that are specifically designed for facial expression recognition based on static images and present their merits and demerits and summarized their approach. Finally, this paper also presents the open issues and research challenges for the design of a robust facial expression recognition system. INDEX TERMS Facial sentiment analysis, machine learning, deep learning, convolutional neural network, deep belief network, artificial intelligence.

show abstract

“…act j (14) Here, the summation symbol represents the addition operation, where σ ∈ (0,1). Particularly,if σ = 1/p, the output is the average value.…”

Section: ) Convolutional Neural Network (Cnn)mentioning

confidence: 99%

“…The FER system has various applications such as computer-human interactions, healthcare system [9]- [14], and social marketing. In the proposed survey, we analyze the existing surveys pertaining to different approaches of FER proposed by the authors globally.…”

Section: Introductionmentioning

confidence: 99%

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also as future work, based on the solutions proposed in [28]- [30], it would be interesting to carry out a study on the feasibility of applying artificial intelligence techniques, such as "Savitzky-Golay" filters, "augmented Dickey-Fuller" tests, and "Haar wavelet transforms" on SCs, in order to predict the behavior of the CSS and the ICS. Also, based on the analysis of requests to SCs (challenge and response records, and storage authorizations), we see the possibility of allowing the SCs to adapt to environmental changes.…”

Section: Discussionmentioning

confidence: 99%

Monitoring File Integrity Using Blockchain and Smart Contracts

et al. 2020

View full text Add to dashboard Cite

The adoption of cloud computing solutions is an established reality in government agencies and in small, medium, and large companies due to procurement easiness and the variety of available services, as well as its low cost compared to the acquisition and management of own infrastructures. Among the most used services is cloud file storage, and the security of this storage has been an essential subject of recent research, particularly customer data integrity. Thus, this article proposes a solution for the monitoring of the integrity of files stored in the cloud, based on the use of smart contracts in Blockchain Networks, symmetric encryption, and computational trust. The proposed solution consists of a protocol that provides confidentiality, decentralization, audit availability, and the secure sharing of file integrity monitoring results, without overloading the services involved, as well as an unabridged reference implementation which was used to validate the proposal. The results obtained during the validation tests have shown that the solution is feasible and faultless in detecting corrupted files. These tests also confirmed that the sharing of integrity monitoring results, coupled with the application of computational trust techniques, significantly increased the efficiency of the proposed solution.

show abstract

“…Ethereum is the one platform that runs on smart contracts. 11 Immutability, trust-less, secure is the relevant features for its efficient performance.…”

Section: Blockchain 20mentioning

confidence: 99%

Adoption of blockchain technology in various realms: Opportunities and challenges

Akram

Malik

Singh

et al. 2020

Security and Privacy

Self Cite

148

View full text Add to dashboard Cite

Our society is becoming “smarter” and more interconnected, as evidenced by technological trends such as smart farming, smart healthcare, supply chain and logistics, and smart city and nation. Security and privacy are two major key considerations in these smart applications, such as blockchain‐based security solutions for Industry 4.0‐based applications (the focus of this study). In this study, we present a systematic review of existing blockchain‐based solutions, particularly for Industry 4.0‐based applications. We present the merits and demerits of various state‐of‐the‐art approaches. We also highlight the challenges of the blockchain with the scope of interoperability and governance so that this gives a clear understanding to researchers and professionals.

show abstract

Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges

Cited by 185 publications

References 110 publications

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

Monitoring File Integrity Using Blockchain and Smart Contracts

Adoption of blockchain technology in various realms: Opportunities and challenges

Contact Info

Product

Resources

About