Towards building data analytics benchmarks for IoT intrusion detection

R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh - Cluster Computing, 2022 - Springer
Data analytics projects span all types of domains and applications. Researchers publish
results using certain datasets and classification models. They present results with a …

A novel deep learning model to secure internet of things in healthcare

U Ahmad, H Song, A Bilal, S Mahmood… - … intelligence and big …, 2021 - Springer
Smart and efficient application of DL algorithms in IoT devices can improve operational
efficiency in healthcare, including tracking, monitoring, controlling, and optimization. In this …

Toward a Real‐Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro‐Fuzzy Classifier and SDN Assistance in Fog Computing

R Bensaid, N Labraoui, AA Abba Ari… - Security and …, 2024 - Wiley Online Library
The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways.
As a result, a massive volume of data are generated and need to be processed in a short …

An intrusion detection system for health-care system using machine and deep learning

S Pande, A Khamparia, D Gupta - World Journal of Engineering, 2022 - emerald.com
Purpose One of the important key components of health care–based system is a reliable
intrusion detection system. Traditional techniques are not adequate to handle complex data …

Potential development on cyberattack and prospect analysis for cybersecurity

L Li, K Thakur, ML Ali - 2020 IEEE International IOT, Electronics …, 2020 - ieeexplore.ieee.org
Technology and methods on cyberattack and strategy on cybersecurity always develop
simultaneously. Once a knotty method of cyberattack has been created, information security …

Machine-learning-based vulnerability detection and classification in internet of things device security

SB Hulayyil, S Li, L Xu - Electronics, 2023 - mdpi.com
Detecting cyber security vulnerabilities in the Internet of Things (IoT) devices before they are
exploited is increasingly challenging and is one of the key technologies to protect IoT …

Cyber-security threats to IoMT-enabled healthcare systems

S Roobini, M Kavitha, M Sujaritha… - Cognitive Computing for …, 2022 - taylorfrancis.com
The traditional healthcare systems are confronted with new issues as the number of patients
keeps rising. The design of the Internet of Medical Things (IoMT) addresses this problem …

Survey of internet of things (IoT) infrastructures for building energy systems

W Yaïci, K Krishnamurthy, E Entchev… - 2020 Global Internet of …, 2020 - ieeexplore.ieee.org
This paper discusses a revolutionary system of interrelated computing devices and
technologies known as the Internet of Things (IoT), with the objective of improving energy …

[PDF][PDF] Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

AHB Alghuraibawi, R Abdullah, S Manickam… - International Journal of …, 2021 - academia.edu
Security network systems have been an increasingly important discipline since the
implementation of preliminary stages of Internet Protocol version 6 (IPv6) for exploiting by …

On securing iot from deep learning perspective

Y Otoum, A Nayak - 2020 IEEE Symposium on Computers and …, 2020 - ieeexplore.ieee.org
The extensive growth of the Internet of Things (IoT) has impacted diverse applications,
including smart homes and cities, Intelligent Transport Systems (ITS) and smart factories. IoT …