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Information, Volume 14, Issue 11

November 2023 - 42 articles

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Cover Story: This paper proposes an Intrusion Detection System (IDS) for in-vehicle security networks based on the multi-scale histograms of CAN-ID message identifiers of the CAN-bus protocol. The proposed approach uses sequences of two and three CAN-bus messages to create multi-scale dictionaries from windows of in-vehicle network traffic. A preliminary multi-scale histogram model and dictionaries are created using only legitimate traffic. Against this model, the IDS creates and combines the feature spaces for the different scales. The created feature space is given in input to a Convolutional Neural Network (CNN) to identify the traffic windows where the attack is present. The proposed approach has been evaluated in two different public data sets. View this paper

Articles (42)

  • Review
  • Open Access
5 Citations
4,359 Views
22 Pages

20 November 2023

This paper presents an overview of the uses of the combination of eye tracking and artificial intelligence. In the paper, several aspects of both eye tracking and applied AI methods have been analyzed. It analyzes the eye tracking hardware used along...

  • Article
  • Open Access
4 Citations
3,857 Views
17 Pages

19 November 2023

Multiple unmanned aerial vehicle (multi-UAV) systems have gained significant attention in applications, such as aerial surveillance and search and rescue missions. With the recent development of state-of-the-art multiagent reinforcement learning (MAR...

  • Article
  • Open Access
6 Citations
4,559 Views
27 Pages

19 November 2023

Privacy policies are the main method for informing Internet users of how their data are collected and shared. This study aims to analyze the deficiencies of privacy policies in terms of readability, vague statements, and the use of pacifying phrases...

  • Article
  • Open Access
4 Citations
4,731 Views
26 Pages

Comparative Analysis of Membership Inference Attacks in Federated and Centralized Learning

  • Ali Abbasi Tadi,
  • Saroj Dayal,
  • Dima Alhadidi and
  • Noman Mohammed

19 November 2023

The vulnerability of machine learning models to membership inference attacks, which aim to determine whether a specific record belongs to the training dataset, is explored in this paper. Federated learning allows multiple parties to independently tra...

  • Article
  • Open Access
1 Citations
2,519 Views
22 Pages

Optimal Radio Propagation Modeling and Parametric Tuning Using Optimization Algorithms

  • Joseph Isabona,
  • Agbotiname Lucky Imoize,
  • Oluwasayo Akinloye Akinwumi,
  • Okiemute Roberts Omasheye,
  • Emughedi Oghu,
  • Cheng-Chi Lee and
  • Chun-Ta Li

19 November 2023

Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an...

  • Article
  • Open Access
15 Citations
7,055 Views
39 Pages

Efficient Resource Utilization in IoT and Cloud Computing

  • Vivek Kumar Prasad,
  • Debabrata Dansana,
  • Madhuri D. Bhavsar,
  • Biswaranjan Acharya,
  • Vassilis C. Gerogiannis and
  • Andreas Kanavos

19 November 2023

With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability and virtual resource provisioning, is...

  • Article
  • Open Access
23 Citations
7,249 Views
20 Pages

An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification

  • Mohd Asif Hajam,
  • Tasleem Arif,
  • Akib Mohi Ud Din Khanday and
  • Mehdi Neshat

18 November 2023

Accurate and efficient medicinal plant image classification is of utmost importance as these plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a long history of medicinal plant usage, different parts of plants...

  • Article
  • Open Access
5 Citations
2,569 Views
18 Pages

Neural Network-Based Solar Irradiance Forecast for Edge Computing Devices

  • Georgios Venitourakis,
  • Christoforos Vasilakis,
  • Alexandros Tsagkaropoulos,
  • Tzouma Amrou,
  • Georgios Konstantoulakis,
  • Panagiotis Golemis and
  • Dionysios Reisis

18 November 2023

Aiming at effectively improving photovoltaic (PV) park operation and the stability of the electricity grid, the current paper addresses the design and development of a novel system achieving the short-term irradiance forecasting for the PV park area,...

  • Article
  • Open Access
1,978 Views
12 Pages

15 November 2023

The exponential growth of social media text information presents a challenging issue in terms of retrieving valuable information efficiently. Utilizing deep learning models, we can automatically generate keywords that express core content and topics...

  • Article
  • Open Access
7 Citations
3,489 Views
27 Pages

15 November 2023

In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors an...

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