Digital forensics based on federated learning in IoT environment

H Mohamed, N Koroniotis, N Moustafa - Proceedings of the 2023 …, 2023 - dl.acm.org
The prevalence of Internet of Things (IoT) devices and increasing cyber-attacks, especially
Advanced Persistent Threats (APTs), require automating the forensics investigation process …

A New Network Digital Forensics Approach for Internet of Things Environment Based on Binary Owl Optimizer

H Alazzam, O AbuAlghanam, QM Al-zoubi… - Cybernetics and …, 2022 - sciendo.com
The Internet of Things (IoT) is widespread in our lives these days (eg, Smart homes, smart
cities, etc.). Despite its significant role in providing automatic real-time services to users …

IoT attack prediction using big Bot-IoT data

JL Leevy, TM Khoshgoftaar… - International Journal of …, 2022 - inderscienceonline.com
Bot-IoT is a recent and publicly available dataset that depicts attack traffic launched by
BotNets against internet of things (IoT) networks. Normal (non-attack) traffic is represented …

GTBNN: game-theoretic and bayesian neural networks to tackle security attacks in intelligent transportation systems

KS Gill, S Saxena, A Sharma, A Dhillon - Cluster Computing, 2024 - Springer
The extensive implementation of cloud computing has brought about a significant
transformation in multiple industries, encompassing major corporations, individual …

An Improved Intrusion Dectection System using BoT-IoT Dataset

B Majhi - 2022 IEEE 11th International Conference on …, 2022 - ieeexplore.ieee.org
Security concern in IoTs is gaining massive attention from researchers. IoT has the power to
transform the world. It is grounded in homes, education, energy, mobiles and many more …

On the Fence: Anomaly Detection in IoT Networks

P Russell, MA Elsayed, B Nandy… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is increasingly impacting every aspect of life, with deployment in
various societal applications. This paper explores anomaly detection via novelty and outlier …

Lightweight intrusion detection using multiple entropies of traffic behavior in IoT networks

Y Katsura, A Endo, M Kakiuchi, I Arai… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Since Mirai malware first appeared in 2016, different variants have been created. The
variants infect Internet of Things (IoT) devices such as home routers and webcams. The …

[PDF][PDF] XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems. Sustainability 2022, 14, 8707

TTH Le, YE Oktian, H Kim - 2022 - researchgate.net
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

Data balancing and hyper-parameter optimization for machine learning algorithms for secure iot networks

O Elghalhoud, K Naik, M Zaman, N Goel - Proceedings of the 18th ACM …, 2022 - dl.acm.org
Nowadays, many industries rely on machine learning (ML) algorithms and their ability to
learn from existing data to make inferences about new unlabeled data. Applying ML …

Federated learning-guided intrusion detection and neural key exchange for safeguarding patient data on the internet of medical things

C Zhong, A Sarkar, S Manna, MZ Khan… - International Journal of …, 2024 - Springer
To improve the security of the Internet of Medical Things (IoMT) in healthcare, this paper
offers a Federated Learning (FL)-guided Intrusion Detection System (IDS) and an Artificial …