Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Optimization

2017 ◽  
pp. 153-177
Author(s):  
S. Radha ◽  
S. Aasha Nandhini ◽  
R. Hemalatha
Keyword(s):  
Particle Swarm Optimization ◽  
Anomaly Detection ◽  
Video Surveillance ◽  
Detection System ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Surveillance Application ◽  
Anomaly Detection System

An Intelligent Network Intrusion Detection System Using Particle Swarm Optimization (PSO) and Deep Network Networks (DNN)

2021 ◽  
Vol 12 (2) ◽  
pp. 57-73
Author(s):  
Preethi D. ◽  
Neelu Khare
Keyword(s):  
Feature Selection ◽  
Particle Swarm Optimization ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Particle Swarm ◽  
Network Intrusion Detection ◽  
Swarm Optimization ◽  
Network Intrusion ◽  
Proposed Model

Network intrusion detection system (NIDS) plays a major role in ensuring network security. In this paper, the authors propose a PSO-DNN-based intrusion detection system. The correlation-based feature selection (CFS) applied for feature selection with particle swarm optimization (PSO) as search method and deep neural networks (DNN) for classification of network intrusions. The Adam optimizer is applied for optimizing the learning rate, and softmax classifier is used for classification. The experimentations were duly conducted on the standard benchmark NSL-KDD dataset. The proposed model is validated using 10-fold cross-validation and evaluated using the performance metrics such as accuracy, precision, recall, and F1-score. Also, the results are also compared with DNN and CFS+DNN. The experimental results show that the proposed model performs better compared with other methods considered for comparison.

An Intrusion Detection System Based on Hybrid of Particle Swarm Optimization (PSO) and Magnetic Optimization Algorithm (MOA)

2021 ◽  
pp. 579-588
Author(s):  
Siti Norwahidayah Wahab ◽  
Noor Suhana Sulaiman ◽  
Noraniah Abdul Aziz ◽  
Nur Liyana Zakaria ◽  
Ainal Amirah Abd Aziz
Keyword(s):  
Particle Swarm Optimization ◽  
Intrusion Detection ◽  
Optimization Algorithm ◽  
Intrusion Detection System ◽  
Detection System ◽  
Particle Swarm ◽  
Swarm Optimization

A COVID-19 Detection Algorithm Using Deep Features and Discrete Social Learning Particle Swarm Optimization for Edge Computing Devices

2022 ◽  
Vol 22 (3) ◽  
pp. 1-17
Author(s):  
Chaonan Shen ◽  
Kai Zhang ◽  
Jinshan Tang
Keyword(s):  
Particle Swarm Optimization ◽  
Social Learning ◽  
Early Detection ◽  
Detection System ◽  
Particle Swarm ◽  
Detection Algorithm ◽  
Edge Computing ◽  
Internet Technology ◽  
Support Vector ◽  
Swarm Optimization

COVID-19 has been spread around the world and has caused a huge number of deaths. Early detection of this disease is the most efficient way to prevent its rapid spread. Due to the development of internet technology and edge intelligence, developing an early detection system for COVID-19 in the medical environment of the Internet of Things (IoT) can effectively alleviate the spread of the disease. In this paper, a detection algorithm is developed, which can detect COVID-19 effectively by utilizing the features from Chest X-ray (CXR) images. First, a pre-trained model (ResNet18) is adopted for feature extraction. Then, a discrete social learning particle swarm optimization algorithm (DSLPSO) is proposed for feature selection. By filtering redundant and irrelevant features, the dimensionality of the feature vector is reduced. Finally, the images are classified by a Support Vector Machine (SVM) for COVID-19 detection. Experimental results show that the proposed algorithm can achieve competitive performance with fewer features, which is suitable for edge computing devices with lower computation power.

Feature Subset Selection Using Binary Quantum Particle Swarm Optimization for Spam Detection System

2014 ◽  
Vol 20 (1) ◽  
pp. 188-192 ◽  
Author(s):  
Amir Rajabi Behjat ◽  
Aida Mustapha ◽  
Hossein Nezamabadi-Pour ◽  
Md. Nasir Sulaiman ◽  
Norwati Mustapha
Keyword(s):  
Particle Swarm Optimization ◽  
Quantum Particle ◽  
Detection System ◽  
Particle Swarm ◽  
Subset Selection ◽  
Feature Subset Selection ◽  
Spam Detection ◽  
Feature Subset ◽  
Swarm Optimization ◽  
Quantum Particle Swarm Optimization
Sign in / Sign up

Export Citation Format

Share Document