[HTML][HTML] Interpreting black-box models: a review on explainable artificial intelligence
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …
methodological development in a broad range of domains. In this rapidly evolving field …
Metaverse for industry 5.0 in NextG communications: potential applications and future challenges
With the advent of new technologies and endeavors for automation in almost all day-to-day
activities, the recent discussions on the metaverse life have a greater expectation …
activities, the recent discussions on the metaverse life have a greater expectation …
A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy
L Xia, DT Semirumi, R Rezaei - Sustainable Cities and Society, 2023 - Elsevier
With the increasing use of artificial intelligence (AI) and the Internet of Things (IoTs), it is
crucial to acknowledge the potential security and privacy issues that arise from these …
crucial to acknowledge the potential security and privacy issues that arise from these …
A generalizable deep neural network method for detecting attacks in industrial cyber-physical systems
J Sakhnini, H Karimipour, A Dehghantanha… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Today's power systems utilize smart technology to improve the efficacy of power distribution.
Using cyber-physical components in the power system such as smart grids can introduce …
Using cyber-physical components in the power system such as smart grids can introduce …
Data security, customer trust and intention for adoption of Fintech services: an empirical analysis from commercial bank users in Pakistan
The research aims to empirically investigate the effect of perceived easiness of use (PEU),
perceive usefulness (PU), data security (DAS) on adoption intention of Fintech services …
perceive usefulness (PU), data security (DAS) on adoption intention of Fintech services …
Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM
AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
[HTML][HTML] Detection of Ponzi scheme on Ethereum using machine learning algorithms
Security threats posed by Ponzi schemes present a considerably higher risk compared to
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Plagiarism detection (PD) in natural language processing involves locating similar words in
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
[HTML][HTML] CANAttack: Assessing Vulnerabilities within Controller Area Network
Current vehicles include electronic features that provide ease and convenience to drivers.
These electronic features or nodes rely on in-vehicle communication protocols to ensure …
These electronic features or nodes rely on in-vehicle communication protocols to ensure …