Intrusion detection in wireless sensor network using enhanced empirical based component analysis
L Zhiqiang, G Mohiuddin, Z Jiangbin, M Asim… - Future Generation …, 2022 - Elsevier
Nowadays, several kinds of attacks exist in cyberspace, and hence comprehensive research
has been implemented to overcome these drawbacks. One such method to provide security …
has been implemented to overcome these drawbacks. One such method to provide security …
A two-stage stacked ensemble intrusion detection system using five base classifiers and MLP with optimal feature selection
The proliferation of internet-connected services has led to significant growth of cyber-attacks
often with devastating and grievous consequences. Malware is the key choice of weapon to …
often with devastating and grievous consequences. Malware is the key choice of weapon to …
Framing network flow for anomaly detection using image recognition and federated learning
The intrusion detection system (IDS) must be able to handle the increase in attack volume,
increasing Internet traffic, and accelerating detection speeds. Network flow feature (NTF) …
increasing Internet traffic, and accelerating detection speeds. Network flow feature (NTF) …
A hypergraph-based machine learning ensemble network intrusion detection system
ZZ Lin, TD Pike, MM Bailey, ND Bastian - arXiv preprint arXiv:2211.03933, 2022 - arxiv.org
Network intrusion detection systems (NIDS) to detect malicious attacks continue to meet
challenges. NIDS are often developed offline while they face auto-generated port scan …
challenges. NIDS are often developed offline while they face auto-generated port scan …
Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem
Most defence mechanisms such as a network-based intrusion detection system (NIDS) are
often sub-optimal for the detection of an unseen malicious pattern. In response, a number of …
often sub-optimal for the detection of an unseen malicious pattern. In response, a number of …
INTRUSION DETECTION USING DEEP (CNN) CONVOLUTIONAL NEURAL NETWORK FEATURE EXTRACTION WITH (EPCA) ENHANCED PRINCIPAL …
A Kayyidavazhiyil, M Silic - Global journal of Business and Integral Security, 2022 - gbis.ch
Abstract (IDS) Intrusion detection system, is an extremely significant to prevent network
attacks, and in classification of network traffic to determine anomalies inside network …
attacks, and in classification of network traffic to determine anomalies inside network …
Intrusion Detection System Based on Feature Reduced Back Propagation Neural Network Using Ant Colony Optimization
GP Dubey, RK Bhujade - Cyber Technologies and Emerging Sciences …, 2022 - Springer
Abstract Intrusion Detection Systems (IDS) acts as a Security Management Tool for
safeguarding a Computer Workstation or Network from Intrusions, Attacks and Unauthorized …
safeguarding a Computer Workstation or Network from Intrusions, Attacks and Unauthorized …
A Detailed Analysis on Intrusion Detection Systems, Datasets, and Challenges
With the rapid growth of the network, the security of the network data has become a major
challenge in the recent years. Thus, there is a need to monitor the network traffic in order to …
challenge in the recent years. Thus, there is a need to monitor the network traffic in order to …