A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Cyber security in the age of COVID-19: A timeline and analysis of cyber-crime and cyber-attacks during the pandemic
The COVID-19 pandemic was a remarkable, unprecedented event which altered the lives of
billions of citizens globally resulting in what became commonly referred to as the new …
billions of citizens globally resulting in what became commonly referred to as the new …
InSDN: A novel SDN intrusion dataset
Software-Defined Network (SDN) has been developed to reduce network complexity
through control and manage the whole network from a centralized location. Today, SDN is …
through control and manage the whole network from a centralized location. Today, SDN is …
A novel PCA-firefly based XGBoost classification model for intrusion detection in networks using GPU
The enormous popularity of the internet across all spheres of human life has introduced
various risks of malicious attacks in the network. The activities performed over the network …
various risks of malicious attacks in the network. The activities performed over the network …
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
A network intrusion detection system (NIDS) is a solution that mitigates the threat of attacks
on a network. The success of a NIDS depends on the success of its algorithm and the …
on a network. The success of a NIDS depends on the success of its algorithm and the …
A review of recent approaches on wrapper feature selection for intrusion detection
In this paper, we present a review of recent advances in wrapper feature selection
techniques for attack detection and classification, applied in intrusion detection area. Due to …
techniques for attack detection and classification, applied in intrusion detection area. Due to …
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
Utilising deep learning techniques for effective zero-day attack detection
Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion
Detection Systems (IDS). The increase in both the number and sheer variety of new cyber …
Detection Systems (IDS). The increase in both the number and sheer variety of new cyber …
A novel combinatorial optimization based feature selection method for network intrusion detection
The advancements in communication technologies and ubiquitous accessibility to a wide
array of services has opened many challenges. Growing numbers of cyberattacks show that …
array of services has opened many challenges. Growing numbers of cyberattacks show that …