A hybrid heuristics artificial intelligence feature selection for intrusion detection classifiers in cloud of things
Cloud computing environments provide users with Internet-based services and one of their
main challenges is security issues. Hence, using Intrusion Detection Systems (IDSs) as a …
main challenges is security issues. Hence, using Intrusion Detection Systems (IDSs) as a …
Building a cloud-IDS by hybrid bio-inspired feature selection algorithms along with random forest model
The adoption of cloud computing has become increasingly widespread across various
domains. However, the inherent security vulnerabilities of cloud computing pose significant …
domains. However, the inherent security vulnerabilities of cloud computing pose significant …
Intrusion detection approach for cloud and IoT environments using deep learning and Capuchin Search Algorithm
Abstract The Internet of Things (IoT) enabled technology will be adopted to develop smart
cities, electronic commerce, electronic learning, electronic health, and other aspects of …
cities, electronic commerce, electronic learning, electronic health, and other aspects of …
Swarm intelligence based feature selection for intrusion and detection system in cloud infrastructure
V Ravindranath, S Ramasamy… - 2020 IEEE congress …, 2020 - ieeexplore.ieee.org
Network intrusion and cyber attacks are the most severe concern for Cloud computing
service providers. The vulnerability of attacks is on a hike that manual or simple rule-based …
service providers. The vulnerability of attacks is on a hike that manual or simple rule-based …
[PDF][PDF] Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization.
R Alkanhel, ESM El-kenawy… - … , Materials & Continua, 2023 - researchgate.net
Applications of internet-of-things (IoT) are increasingly being used in many facets of our
daily life, which results in an enormous volume of data. Cloud computing and fog computing …
daily life, which results in an enormous volume of data. Cloud computing and fog computing …
Enhancing intrusion detection systems for IoT and cloud environments using a growth optimizer algorithm and conventional neural networks
Intrusion detection systems (IDS) play a crucial role in securing networks and identifying
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …
Filter-based ensemble feature selection and deep learning model for intrusion detection in cloud computing
In recent years, the high improvement in communication, Internet of Things (IoT) and cloud
computing have begun complex questioning in security. Based on the development …
computing have begun complex questioning in security. Based on the development …
Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing
Cloud computing is a preferred option for organizations around the globe, it offers scalable
and internet-based computing resources as a flexible service. Security is a key concern …
and internet-based computing resources as a flexible service. Security is a key concern …
Network intrusion detection based on ensemble classification and feature selection method for cloud computing
Cloud computing security is the most critical factor for providers, cloud users, and
organizations. The various novel approaches apply host‐based or network‐based methods …
organizations. The various novel approaches apply host‐based or network‐based methods …
Intrusion detection system based on a modified binary grey wolf optimisation
One critical issue within network security refers to intrusion detection. The nature of intrusion
attempts appears to be nonlinear, wherein the network traffic performance is unpredictable …
attempts appears to be nonlinear, wherein the network traffic performance is unpredictable …