A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
Intrusion detection systems: A state-of-the-art taxonomy and survey
Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …
of networks. These systems have the potential to identify and report deviations from normal …
A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT
The increasing trend toward using the Internet of Things (IoT) increased the number of
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
EIDM: deep learning model for IoT intrusion detection systems
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …
[HTML][HTML] Blockchain technology for IoT security and trust: a comprehensive SLR
S Almarri, A Aljughaiman - Sustainability, 2024 - mdpi.com
After the emergence of the Internet of Things (IoT), the way devices interact with each other
changed, as it allowed automation and seamless communication in various fields. However …
changed, as it allowed automation and seamless communication in various fields. However …
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …
security challenge. Existing detection systems are continually outmaneuvered by the …
Knowledge-based anomaly detection: Survey, challenges, and future directions
Due to the rapidly increasing number of Internet-connected objects, a huge amount of data
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …
MOAEOSCA: an enhanced multi-objective hybrid artificial ecosystem-based optimization with sine cosine algorithm for feature selection in botnet detection in IoT
The number of Internet of Things (IoT) devices overgrows, and this technology dominates.
The importance of IoT security and the growing need to devise intrusion detection systems …
The importance of IoT security and the growing need to devise intrusion detection systems …
Generating a benchmark cyber multi-step attacks dataset for intrusion detection
Nowadays, with the rapid increase in the number of applications and networks, the number
of cyber multi-step attacks has been increasing exponentially. Thus, the need for a reliable …
of cyber multi-step attacks has been increasing exponentially. Thus, the need for a reliable …
Anomaly-based intrusion detection system using fuzzy logic
Recently, the Distributed Denial of Service (DDOS) attacks has been used for different
aspects to denial the number of services for the end-users. Therefore, there is an urgent …
aspects to denial the number of services for the end-users. Therefore, there is an urgent …