Intrusion detection systems for IoT-based smart environments: a survey

MF Elrawy, AI Awad, HFA Hamed - Journal of Cloud Computing, 2018 - Springer
One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …

Improving security using SVM-based anomaly detection: issues and challenges

M Hosseinzadeh, AM Rahmani, B Vo, M Bidaki… - Soft Computing, 2021 - Springer
Security is one of the main requirements of the current computer systems, and recently it
gains much importance as the number and severity of malicious attacks increase …

[PDF][PDF] Investigating the use of an artificial intelligence model in an ERP cloud-based system

N Yathiraju - International Journal of Electrical, Electronics and …, 2022 - academia.edu
Enterprise Resource Planning (ERP) systems are necessary to improve an enterprise's
management performance. However, the perception of information technology (IT) …

Internet of Things: A survey on machine learning-based intrusion detection approaches

KAP Da Costa, JP Papa, CO Lisboa, R Munoz… - Computer Networks, 2019 - Elsevier
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …

A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection

V Hajisalem, S Babaie - Computer Networks, 2018 - Elsevier
Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

A new intrusion detection system based on fast learning network and particle swarm optimization

MH Ali, BAD Al Mohammed, A Ismail, MF Zolkipli - IEEE Access, 2018 - ieeexplore.ieee.org
Supervised intrusion detection system is a system that has the capability of learning from
examples about the previous attacks to detect new attacks. Using artificial neural network …

Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization

QM Alzubi, M Anbar, Y Sanjalawe, MA Al-Betar… - Expert Systems with …, 2022 - Elsevier
Nowadays, the world is increasingly becoming more connected and dependent on the
Internet and Internet-based services. One of the main challenges of interconnectedness is …

[Retracted] An Improved Deep Belief Network IDS on IoT‐Based Network for Traffic Systems

R Malik, Y Singh, ZA Sheikh, P Anand… - Journal of Advanced …, 2022 - Wiley Online Library
Internet of things (IoT) services are turning out to be more domineering with the rising
security considerations fading with time. All this owes to the propagating heterogeneity and …

[PDF][PDF] Detecting malicious dns over https traffic in domain name system using machine learning classifiers

YM Banadaki, S Robert - Journal of Computer Sciences and …, 2020 - researchgate.net
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …