An ensemble framework with improved hybrid breeding optimization-based feature selection for intrusion detection
Intrusion detection is a proactive means to detect network attacks and has been a hot point
in network security. To address the curse of dimensionality and improve the Intrusion …
in network security. To address the curse of dimensionality and improve the Intrusion …
Bio-inspired feature selection algorithms with their applications: a systematic literature review
Based on the principles of the biological evolution of nature, bio-inspired algorithms are
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
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 …
Energy-efficient cluster head selection in wireless sensor networks using an improved grey wolf optimization algorithm
M Rami Reddy, ML Ravi Chandra, P Venkatramana… - Computers, 2023 - mdpi.com
The internet of things (IoT) and industrial IoT (IIoT) play a major role in today's world of
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …
However, while these data are meticulously monitored and logged to maintain course, they …
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network
J Wang, H Jin, J Chen, J Tan, K Zhong - Information Sciences, 2022 - Elsevier
IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …
medical service model, improving the efficiency of hospital operation and management, and …
A cloud based optimization method for zero-day threats detection using genetic algorithm and ensemble learning
This article presents a cloud-based method to classify 0-day attacks from a novel dataset
called UGRansome1819. The primary objective of the research is to classify potential …
called UGRansome1819. The primary objective of the research is to classify potential …
A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization
The surge in cyber-attacks has driven demand for robust Intrusion detection systems (IDSs)
to protect underlying data and sustain availability of network services. Detecting and …
to protect underlying data and sustain availability of network services. Detecting and …
Novel memetic of beluga whale optimization with self-adaptive exploration–exploitation balance for global optimization and engineering problems
A population-based optimizer called beluga whale optimization (BWO) depicts behavioral
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …
Routing attacks detection in 6lowpan-based internet of things
The Internet of Things (IoT) has become increasingly popular, and opened new possibilities
for applications in various domains. However, the IoT also poses security challenges due to …
for applications in various domains. However, the IoT also poses security challenges due to …