In the rapidly advancing domain of smart manufacturing, securing data integrity and
preventing unauthorized access are critical challenges. This study introduces a novel …

A significant concern in the current computing industry is safeguarding Internet of Things
(IoT) networks due to the rapid rise in cyberattacks and security lapses. Previously …

Internet of Things (IoT) devices are frequently deployed in highly dynamic environments and
need to continuously learn new classes from data streams. Incremental Learning (IL) has …

Abstract The integration of Industrial Internet of Things (IIoT) technology into the industrial
sector has produced numerous significant advantages. However, the notable concern …

The increasing prevalence of cyber threats has created a critical need for robust defense
against such incidents. Many Cyber Intrusion Detection Systems (CIDSs), utilizing machine …

Consumer product recognition involves utilizing computer vision (CV) and machine learning
(ML) systems for identifying and recognizing numerous consumer goods in video or image …

Various applications use asymmetric cryptography to secure communications between both
parties, and it raises the main issue of generating vast amounts of computation and storage …

The proliferation of IoT devices has enhanced connectivity but exposed networks to new
cyber threats, particularly from botnets. Detecting and identifying malicious data is critical for …

With the rapid growth of the IoT, the number of devices connected to various networks has
significantly increased. These devices generate vast amounts of data and are often …

Information security is important in today's world as every transaction becomes digitized. For
legal and profitable trading, integrity, confidentiality, non-reputability, and integrity of the …