Network Anomaly Detection Using Autoencoder on Various Datasets: A Comprehensive Review
R Singh, N Srivastava, A Kumar - Recent Patents on …, 2024 - ingentaconnect.com
The scientific community is currently very concerned about information and communication
technology security because any assault or network anomaly can have a remarkable …
technology security because any assault or network anomaly can have a remarkable …
Performance optimization of autoencoder neural network based model for anomaly detection in network traffic
R Singh - 2022 2nd International Conference on Advance …, 2022 - ieeexplore.ieee.org
Network anomaly detection it is a major concern and challenging area nowadays although it
provides effective and efficient mechanism from different types of attack. To enhance the …
provides effective and efficient mechanism from different types of attack. To enhance the …
Malicious traffic detection for cloud-edge-end networks: A deep learning approach
H Liu, F Han, Y Zhang - Computer Communications, 2024 - Elsevier
Malicious traffic has a great impact on network security. This paper studies a malicious traffic
detection method based on deep learning. Aiming at the small sample data problem of …
detection method based on deep learning. Aiming at the small sample data problem of …
Study on Zero-Trust Architecture, Application Areas & Challenges of 6G Technology in Future
Intelligent network orchestration and management are crucial components of the 6G
network. Therefore, machine learning and artificial intelligence play a big part in the 6G …
network. Therefore, machine learning and artificial intelligence play a big part in the 6G …
An enhanced strategy for minority class detection using bidirectional GRU employing penalized cross-entropy and self-attention mechanisms for imbalance network …
The emergence of the Internet as a global communication tool has brought significant
transformations across various aspects of our everyday lives. However, it has also resulted …
transformations across various aspects of our everyday lives. However, it has also resulted …
Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development
R Singh, N Srivastava - Architecture and Technological …, 2024 - igi-global.com
After graduation, student employability is a crucial issue that has an impact on people's lives,
society, and the economy as a whole. Employers are looking for applicants in the present …
society, and the economy as a whole. Employers are looking for applicants in the present …
Novel Approach for Network Anomaly Detection Using Autoencoder on CICIDS Dataset
R Singh, N Srivastava, A Kumar - International Conference on Information …, 2023 - Springer
Through widespread internet protocols and network standards, networking services are
accessible. Insecure communication and assaults on traffic networks must be taken into …
accessible. Insecure communication and assaults on traffic networks must be taken into …
Study of Anomaly Detection in Clinical Laboratory Data Using Internet of Medical Things
R Singh, N Srivastava - Data Modelling and Analytics for the …, 2023 - taylorfrancis.com
The operation of a clinical laboratory includes anomaly detection, which addresses both the
detection of laboratory mistakes and the prompt reporting of data with therapeutic …
detection of laboratory mistakes and the prompt reporting of data with therapeutic …
Predicting the Veracity of News Articles Using Multimodal Embeddings and NLP-Based Features
The prevalence of false news in today's culture has brought to light the necessity for
automated systems that can recognize and categorize news stories according to their …
automated systems that can recognize and categorize news stories according to their …
Toxic Comment Analyzer using BERT: A Deep Learning Approach for Toxicity Detection
With the good hike of social and communication platforms, a significant increase in the
volume of user-generated content is produced. Unfortunately, this surge in online …
volume of user-generated content is produced. Unfortunately, this surge in online …