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Information, Volume 13, Issue 2

February 2022 - 59 articles

Cover Story: The use of adversarial attacks against authentication systems causes the accuracy of such systems to be substantially reduced, despite the complexity of generating a competitive example. As part of this study a white-box adversarial attack was carried out on an authentication system. The basis of the authentication system is a neural network perceptron, trained on a dataset of frequency signatures of sign. For an attack on an atypical dataset the following results were obtained: with an attack intensity of 25% the authentication system availability decreases to 50% for a particular user; with a further increase in the attack intensity the accuracy decreases to 5%. View this paper.
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Articles (59)

  • Article
  • Open Access
43 Citations
8,674 Views
18 Pages

15 February 2022

The popularity of information technology has given rise to a growing interest in smart education and has provided the possibility of combining online and offline education. Knowledge graphs, an effective technology for knowledge representation and ma...

  • Article
  • Open Access
3 Citations
3,152 Views
12 Pages

14 February 2022

Network public opinion is one of the factors that affects the credibility of audits, especially falsified network public opinion, which can easily result in the public losing trust in audits and may even impact the financial market. As users of socia...

  • Article
  • Open Access
38 Citations
13,091 Views
13 Pages

A New Edge Computing Architecture for IoT and Multimedia Data Management

  • Olivier Debauche,
  • Saïd Mahmoudi and
  • Adriano Guttadauria

14 February 2022

The Internet of Things and multimedia devices generate a tremendous amount of data. The transfer of this data to the cloud is a challenging problem because of the congestion at the network level, and therefore processing time could be too long when w...

  • Article
  • Open Access
22 Citations
6,419 Views
14 Pages

14 February 2022

Neural machine translation (NMT) systems have greatly improved the quality available from machine translation (MT) compared to statistical machine translation (SMT) systems. However, these state-of-the-art NMT models need much more computing power an...

  • Article
  • Open Access
7 Citations
19,558 Views
16 Pages

13 February 2022

As the economy grows in South Korea and the needs of consumers become increasingly diversified, various consumer markets are emerging. In this study, the reasons for customers’ intentions to revisit a franchise coffee shop were explored. Many r...

  • Article
  • Open Access
15 Citations
8,052 Views
16 Pages

13 February 2022

The heterogeneity of the formats and standards of clinical data, which includes both structured, semi-structured, and unstructured data, in addition to the sensitive information contained in them, require the definition of specific approaches that ar...

  • Article
  • Open Access
6 Citations
7,775 Views
19 Pages

Data Processing in Cloud Computing Model on the Example of Salesforce Cloud

  • Witold Marańda,
  • Aneta Poniszewska-Marańda and
  • Małgorzata Szymczyńska

12 February 2022

Data processing is integrated with every aspect of operation enterprises—from accounting to marketing and communication internal and control of production processes. The best place to store the information is a properly prepared data center. Th...

  • Article
  • Open Access
2,930 Views
14 Pages

Learning Static-Adaptive Graphs for RGB-T Image Saliency Detection

  • Zhengmei Xu,
  • Jin Tang,
  • Aiwu Zhou and
  • Huaming Liu

12 February 2022

Many works have been proposed on image saliency detection to handle challenging issues including low illumination, cluttered background, low contrast, and so on. Although good performance has been achieved by these algorithms, detection results are s...

  • Review
  • Open Access
187 Citations
31,266 Views
39 Pages

A Survey on Text Classification Algorithms: From Text to Predictions

  • Andrea Gasparetto,
  • Matteo Marcuzzo,
  • Alessandro Zangari and
  • Andrea Albarelli

11 February 2022

In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the auto...

  • Article
  • Open Access
5,300 Views
8 Pages

11 February 2022

Among many research areas to which Ron Yager contributed are decision making under uncertainty (in particular, under interval and fuzzy uncertainty) and aggregation—where he proposed, analyzed, and utilized ordered weighted averaging (OWA). The...

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Information - ISSN 2078-2489