Deep learning approach for SDN-enabled intrusion detection system in IoT networks

R Chaganti, W Suliman, V Ravi, A Dua - Information, 2023 - mdpi.com
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …

Impact of using the internet of medical things on e-healthcare performance: blockchain assist in improving smart contract

M El Khatib, HM Alzoubi, S Hamidi… - ClinicoEconomics …, 2023 - Taylor & Francis
Background This paper explores the use of blockchain technology and smart contracts in the
Internet of Medical Things (IoMT). It aims to identify the challenges and benefits of …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

A secure cryptosystem using DNA cryptography and DNA steganography for the cloud-based IoT infrastructure

S Namasudra - Computers and Electrical Engineering, 2022 - Elsevier
In this digital era, most of the data of an Internet of Things (IoT) infrastructure are
communicated over the internet and they are stored in a cloud environment. As there are …

Towards an intelligent intrusion detection system to detect malicious activities in cloud computing

H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …

Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends

SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …

SDN as a defence mechanism: a comprehensive survey

B Ayodele, V Buttigieg - International Journal of Information Security, 2024 - Springer
Investing in cybersecurity is increasingly considered a significant area and aspect a
business or organisation should seriously consider. Some of these security solutions are …

A lightweight and anonymous mutual authentication scheme for medical big data in distributed smart healthcare systems

S Das, S Namasudra - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of Big Data technology supports the advancement of many fields like
industrial automation, smart healthcare, distributed systems, and many more. Big data is …

Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)

MSA Muthanna, R Alkanhel, A Muthanna, A Rafiq… - IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

S Das, S Namasudra - Transactions on Emerging …, 2023 - Wiley Online Library
In recent years, Internet of Things (IoT) technology has been adopted in numerous
application areas, such as healthcare, agriculture, industrial automation, and many more …