Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

M Nuaimi, LC Fourati, BB Hamed - Journal of Network and Computer …, 2023 - Elsevier
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …

[HTML][HTML] Analysis of IoT security challenges and its solutions using artificial intelligence

T Mazhar, DB Talpur, TA Shloul, YY Ghadi, I Haq… - Brain Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …

[HTML][HTML] Artificial intelligence-based cyber security in the context of industry 4.0—a survey

AJG De Azambuja, C Plesker, K Schützer, R Anderl… - Electronics, 2023 - mdpi.com
The increase in cyber-attacks impacts the performance of organizations in the industrial
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …

[HTML][HTML] An automated conversation system using natural language processing (nlp) chatbot in python

R Regin, SS Rajest, T Shynu - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
The purpose of this project is to build a ChatBot that utilises NLP (Natural Language
Processing) and assists customers. A ChatBot is an automated conversation system that …

[HTML][HTML] A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

[HTML][HTML] A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

[HTML][HTML] BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

[HTML][HTML] A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city …

S Shitharth, AM Alshareef, AO Khadidos, KH Alyoubi… - Scientific Reports, 2023 - nature.com
Ensuring the privacy and trustworthiness of smart city—Internet of Things (IoT) networks
have recently remained the central problem. Cyborg intelligence is one of the most popular …

[HTML][HTML] A review of secure neural networks and big data mining applications in financial risk assessment

R Regin, SS Rajest, T Shynu - … Asian Journal of …, 2023 - cajitmf.centralasianstudies.org
The business activities of an enterprise are the unending development of the behaviours of
groups, and the financial risks that are formed are a direct result of the business activities of …

A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective

ECP Neto, S Dadkhah, S Sadeghi, H Molyneaux… - Computer …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …