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] Internet of Things botnets: A survey on Artificial Intelligence based detection techniques

M Lefoane, I Ghafir, S Kabir, IU Awan - Journal of Network and Computer …, 2025 - Elsevier
Abstract The Internet of Things (IoT) is a game changer when it comes to digitization across
industries. The Fourth Industrial Revolution (4IR), brought about a paradigm shift indeed …

A GNN-based adversarial internet of things malware detection framework for critical infrastructure: Studying gafgyt, mirai and tsunami campaigns

B Esmaeili, A Azmoodeh… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Significant advancement in deep learning (DL) has turned it into an integral part of robust
approaches for addressing cybersecurity problems in both current and aging infrastructures …

Hybrid Optimal Control for Malware Propagation in UAV-WSN System: A Stacking Ensemble Learning Control Algorithm

G Liu, J Zhang, X Zhong, X Hu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) and wireless sensor network (WSN) system widely used in
emergency sites monitoring, disaster relief and data collection, is vulnerable to malware …

[HTML][HTML] Nettisa: Extended ip flow with time-series features for universal bandwidth-constrained high-speed network traffic classification

J Koumar, K Hynek, J Pešek, T Čejka - Computer Networks, 2024 - Elsevier
Network traffic monitoring based on IP Flows is a standard monitoring approach that can be
deployed to various network infrastructures, even the large ISP networks connecting millions …

Explainable graph clustering via expanders in the massively parallel computation model

S Aghamolaei, M Ghodsi - Information Sciences, 2024 - Elsevier
Explainable clustering provides human-understandable reasons for decisions in black-box
learning models. In a previous work, a decision tree built on the set of dimensions was used …

Detecting Internet-of-Things Malware on Evidence Generation

YS Han, HB Seo, MK Yoon - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Malware has been a real threat to Internet of Things (IoT). Although commercial antivirus
solutions can detect malware files and provide label information indicating malware types or …

[PDF][PDF] Maximizing Business Performance through Artificial Intelligence

M Hasan, JB Sharif, M Kwosar, MF Ahmed… - … Journal of Computer …, 2024 - researchgate.net
Artificial Intelligence (AI) has emerged as a transformative force in modern business, driving
significant improvements in efficiency, decision-making, and customer engagement. By …

[PDF][PDF] Addressing IoT Security Challenges through AI Solutions

MS Uddin - International Journal of Computer Applications, 2024 - researchgate.net
ABSTRACT The Internet of Things (IoT) is a widely recognized technology that profoundly
influences various sectors, including connectivity, work, healthcare, and the economy. IoT …

WIF: Efficient Library for Network Traffic Analysis

R Plný, K Hynek, P Šiška - 2024 20th International Conference …, 2024 - ieeexplore.ieee.org
Network traffic classification and analysis are crucial for maintaining computer security.
Nevertheless, the rise of encrypted traffic has made reliable threat detection increasingly …