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Topic Review
Augmented Reality Environments
Contemporary software applications have shifted focus from 2D representations to 3D. Augmented and Virtual Reality (AR/VR) are two technologies that have captured the industry’s interest as they show great potential in many areas. As extended Reality (XR) technology evolves, the development and integration of natural interaction methods into these environments becomes increasingly important. The existing technologies, both software and hardware, are rapidly advancing, requiring developers to constantly learn new tools, and forbidding them from reusing existing components. In addition, companies oblige developers to use specific tools. The lack of frameworks and libraries with which to facilitate this process can discourage developers from engaging with this technology.
  • 207
  • 15 Oct 2023
Topic Review
Intrusion Detection System in IoT Wi-Fi Networks
The Internet of Things (IoT) is a network of billions of interconnected devices embedded with sensors, software, and communication technologies. Wi-Fi is one of the main wireless communication technologies essential for establishing connections and facilitating communication in IoT environments. However, IoT networks are facing major security challenges due to various vulnerabilities, including de-authentication and disassociation DoS attacks that exploit IoT Wi-Fi network vulnerabilities. Traditional intrusion detection systems (IDSs) improved their cyberattack detection capabilities by adapting machine learning approaches, especially deep learning (DL). However, DL-based IDSs still need improvements in their accuracy, efficiency, and scalability to properly address the security challenges including de-authentication and disassociation DoS attacks tailored to suit IoT environments. The main purpose of this research was to overcome these limitations by designing a transfer learning (TL) and convolutional neural network (CNN)-based IDS for deauthentication and disassociation DoS attack detection with better overall accuracy compared to various current solutions. 
  • 318
  • 15 Oct 2023
Topic Review
Usage-Based Insurance Policy Auction Mechanism
An auction mechanism is developed for the UBI blockchain platform to enhance consumer trust. The study identifies correlations between driving behaviors and associated risks to determine a driver’s score. A decentralized bidding algorithm is proposed and implemented on a blockchain platform using elliptic curve cryptography and first-price sealed-bid auctions.
  • 213
  • 13 Oct 2023
Topic Review
MalFe—Malware Feature Engineering Generation Platform
The growing sophistication of malware has resulted in diverse challenges, especially among security researchers who are expected to develop mechanisms to thwart these malicious attacks. While security researchers have turned to machine learning to combat this surge in malware attacks and enhance detection and prevention methods, they often encounter limitations when it comes to sourcing malware binaries and datasets. 
  • 207
  • 13 Oct 2023
Topic Review
Quantum Machine Learning for Security Assessment in IoMT
Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items such as small sensors/actuators and other cyber-physical devices (CPDs) in medical services. When these devices are linked together, they can support patients through medical monitoring, analysis, and reporting in more autonomous and intelligent ways.
  • 314
  • 13 Oct 2023
Topic Review
Anomaly Detection Algorithms for LAN Failure Prediction
Predicting Local Area Network (LAN) equipment failure is of utmost importance to ensure the uninterrupted operation of modern communication networks. The utilization of machine learning algorithms, specifically decision trees and support vector machines (SVMs), for predicting LAN failures represents a groundbreaking approach in network management.
  • 231
  • 13 Oct 2023
Topic Review
Heterogeneous Federated Learning via Relational Adaptive Distillation
As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held by enterprises and factories in the IoT often have different distribution properties (Non-IID), leading to poor results in their federated learning.
  • 119
  • 13 Oct 2023
Topic Review
Contrast Enhancement-Based Preprocessing Process and Object Task Performance
Excessive lighting or sunlight can make it difficult to judge visually. The same goes for cameras that function like the human eye. In the field of computer vision, object tasks have a significant impact on performance depending on how much object information is provided. Light presents difficulties in recognizing objects, and recognition is not easy in shadows or dark areas. Light is one of the biggest factors that make it difficult to recognize the original shape of an object by lowering the object recognition rate.
  • 164
  • 13 Oct 2023
Topic Review
Efficient Model-Driven Prototyping for Edge Analytics
Software development cycles in the context of Internet of Things (IoT) applications require the orchestration of different technological layers, and involve complex technical challenges. The engineering team needs to become experts in these technologies and time delays are inherent due to the cross-integration process because they face steep learning curves in several technologies, which leads to cost issues, and often to a resulting product that is prone to bugs.
  • 137
  • 13 Oct 2023
Topic Review
6-DoF Object Pose Estimation
Accurately estimating the six-degree-of-freedom (6-DoF) of objects is a critical task in various applications, including robotics, autonomous driving, and virtual reality. For instance, the precise estimation of spatial coordinates and rotational orientation of an object is essential for robotic tasks such as manipulation, navigation, and assembly.
  • 363
  • 13 Oct 2023
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