From farm to market: research progress and application prospects of artificial intelligence in the frozen fruits and vegetables supply chain

L Zhang, M Zhang, AS Mujumdar, Y Chen - Trends in Food Science & …, 2024 - Elsevier
Background Frozen fruits and vegetables (F&V) are a vital food category but face multiple
challenges in supply chain management. Traditional methods of quality control, from farm to …

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

An Intrusion Detection System on The Internet of Things Using Deep Learning and Multi-objective Enhanced Gorilla Troops Optimizer

H Asgharzadeh, A Ghaffari, M Masdari… - Journal of Bionic …, 2024 - Springer
In recent years, developed Intrusion Detection Systems (IDSs) perform a vital function in
improving security and anomaly detection. The effectiveness of deep learning-based …

Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies

M Asadi, MAJ Jamali, A Heidari… - Transactions on …, 2024 - Wiley Online Library
Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …

An integrated model for evaluating the risk factors of crypto-currencies under fuzzy environment

M Bulut, ME Uyar, E Özcan - Engineering Applications of Artificial …, 2024 - Elsevier
While blockchain technology and cryptocurrencies offer numerous advantages and
innovations, it is essential to be aware that their implementation processes are fraught with a …

A comparative analysis of using ensemble trees for botnet detection and classification in IoT

M Saied, S Guirguis, M Madbouly - Scientific Reports, 2023 - nature.com
Enhancing IoT security is a corner stone for building trust in its technology and driving its
growth. Limited resources and diversified nature of IoT devices make them vulnerable to …

An entropy and machine learning based approach for DDoS attacks detection in software defined networks

AI Hassan, EA El Reheem, SK Guirguis - Scientific Reports, 2024 - nature.com
Software-defined networks (SDNs) have been growing rapidly due to their ability to provide
an efficient network management approach compared to traditional methods. However, one …

A comparative study of using boosting-based machine learning algorithms for IoT network intrusion detection

M Saied, S Guirguis, M Madbouly - International Journal of Computational …, 2023 - Springer
Abstract The Internet-of-Things (IoT) environment has revolutionized the quality of living
standards by enabling seamless connectivity and automation. However, the widespread …

IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm

A Muthukrishnan, S Kamalesh - Swarm and Evolutionary Computation, 2024 - Elsevier
Abstract Internet of Things (IoT) networks consist of physical devices connected to the
Internet, embedded with actuators, sensors, and communication components that exchange …

An SDN-based Hybrid-DL-driven cognitive intrusion detection system for IoT ecosystem

F Wahab, A Shah, I Khan, B Ali, M Adnan - Computers and Electrical …, 2024 - Elsevier
Smart homes, healthcare, transportation, agriculture, manufacturing, and many more sectors
can all benefit from IoT technology. This revolutionary way of interacting with the world could …