[HTML][HTML] A survey on the role of industrial iot in manufacturing for implementation of smart industry
The Internet of Things (IoT) is an innovative technology that presents effective and attractive
solutions to revolutionize various domains. Numerous solutions based on the IoT have been …
solutions to revolutionize various domains. Numerous solutions based on the IoT have been …
Deep ensemble-based efficient framework for network attack detection
Nowadays, networks play a critical role in business, education, and daily life, allowing
people to communicate via different platforms across long distances. However, such …
people to communicate via different platforms across long distances. However, such …
[HTML][HTML] Automated battery making fault classification using over-sampled image data CNN features
NU Din, L Zhang, Y Yang - Sensors, 2023 - mdpi.com
Due to the tremendous expectations placed on batteries to produce a reliable and secure
product, fault detection has become a critical part of the manufacturing process. Manually, it …
product, fault detection has become a critical part of the manufacturing process. Manually, it …
A novel approach for real-time server-based attack detection using meta-learning
Modern networks are crucial for seamless connectivity but face various threats, including
disruptive network attacks, which can result in significant financial and reputational risks. To …
disruptive network attacks, which can result in significant financial and reputational risks. To …
IoT networks attacks detection using multi-novel features and extra tree random-voting ensemble classifier (ER-VEC)
A Sarwar, MF Mushtaq, U Akram, F Rustam… - Journal of Ambient …, 2023 - Springer
Internet usage is increasing day by day all over the world and as a result, technology is also
developing to make daily life appliances as smart as possible. Millions of devices are …
developing to make daily life appliances as smart as possible. Millions of devices are …
[HTML][HTML] Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches
The rapid advancement of network architectures, protocols, and tools poses significant
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
[PDF][PDF] PoAh-Enabled Federated Learning Architecture for DDoS Attack Detection in IoT Networks
Abstract Nowadays, the Internet of Things (IoT) has widely influenced many areas of human
life; several advanced IoT applications and services are developing in smart cities. However …
life; several advanced IoT applications and services are developing in smart cities. However …
Securing multi-environment networks using versatile synthetic data augmentation technique and machine learning algorithms
The emergence of new network architectures, protocols, and tools has made it easier for
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …
[HTML][HTML] Achieving model explainability for intrusion detection in VANETs with LIME
F Hassan, J Yu, ZS Syed, N Ahmed… - PeerJ Computer …, 2023 - peerj.com
Vehicular ad hoc networks (VANETs) are intelligent transport subsystems; vehicles can
communicate through a wireless medium in this system. There are many applications of …
communicate through a wireless medium in this system. There are many applications of …
[HTML][HTML] Advanced machine learning approach for DoS attack resilience in internet of vehicles security
Recent years have witnessed security as a great concern in vehicular networks (VANET).
Particularly, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks can …
Particularly, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks can …