Modeling, detecting, and mitigating threats against industrial healthcare systems: a combined software defined networking and reinforcement learning approach

P Radoglou-Grammatikis, K Rompolos… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The rise of the Internet of Medical Things introduces the healthcare ecosystem in a new
digital era with multiple benefits, such as remote medical assistance, real-time monitoring …

Virtual IoT HoneyNets to mitigate cyberattacks in SDN/NFV-enabled IoT networks

AM Zarca, JB Bernabe, A Skarmeta… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
As the IoT adoption is growing in several fields, cybersecurity attacks involving low-cost end-
user devices are increasing accordingly, undermining the expected deployment of IoT …

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 machine-learning-based cyberattack detector for a cloud-based SDN controller

A Mozo, A Karamchandani, L de la Cal… - Applied Sciences, 2023 - mdpi.com
The rapid evolution of network infrastructure through the softwarization of network elements
has led to an exponential increase in the attack surface, thereby increasing the complexity of …

Mimepot: A model-based honeypot for industrial control networks

G Bernieri, M Conti, F Pascucci - 2019 ieee international …, 2019 - ieeexplore.ieee.org
Complex and heterogeneous systems characterize the Industry 4.0. Due to the Information
Technology (IT) convergence towards the Operational Technology (OT), the development of …

SD-honeypot integration for mitigating DDoS attack using machine learning approaches

FDS Sumadi, S Syaifuddin - JOIV International Journal on …, 2022 - eprints.umm.ac.id
Distributed Denial of Services (DDoS) is still considered the main availability problem in
computer networks. Develo** a programmable Intrusion Prevention System (IPS) …

Hunting IoT cyberattacks with AI-Powered intrusion detection

S Grigoriadou, P Radoglou-Grammatikis… - … on Cyber Security …, 2023 - ieeexplore.ieee.org
The rapid progression of the Internet of Things allows the seamless integration of cyber and
physical environments, thus creating an overall hyper-connected ecosystem. It is evident …

Semi-supervised approach for detecting distributed denial of service in SD-honeypot network environment

FDS Sumadi, CSK Aditya, AA Maulana… - … Journal of Artificial …, 2022 - eprints.umm.ac.id
Distributed Denial of Service (DDoS) attacks is the most common type ofcyber-attack.
Therefore, an appropriate mechanism is needed to overcomethose problems. This paper …

Pandora: An IOT based Intrusion Detection Honeypot with Real-time Monitoring

K Ramakrishnan, P Gokul… - … Conference on Forensics …, 2021 - ieeexplore.ieee.org
With the rising demand for security against cyber threats and cybercrime, it is critical to
create practical approaches that draw on existing research and improve upon it. Because …

A Comprehensive Analysis of Exploring SDN-Enabled Honeypots for IoT Security

A Sharma, H Babbar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
For the Internet of Things (IoT) to provide reliable services, it is crucial to identify
cyberattacks in these network environments and stop them before they disrupt physical …