Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
Securing networks is becoming increasingly crucial due to the widespread use of
information technology. Intrusion Detection System (IDS) plays a crucial role in network …
information technology. Intrusion Detection System (IDS) plays a crucial role in network …
[PDF][PDF] Enhancing iot security with deep stack encoder using various optimizers for botnet attack prediction
A Kalidindi, MB Arrama - … Journal of Advanced Computer Science and …, 2023 - academia.edu
The Internet of Things (IoT) connects different sensors, devices, applications, databases,
services, and people, bringing improvements to various aspects of our lives, such as cities …
services, and people, bringing improvements to various aspects of our lives, such as cities …
Time‐based DDoS attack detection through hybrid LSTM‐CNN model architectures: An investigation of many‐to‐one and many‐to‐many approaches
B Habib, F Khursheed - Concurrency and Computation …, 2024 - Wiley Online Library
Internet data thefts, intrusions and DDoS attacks are some of the big concerns for the
network security today. Detection of these anomalies, is gaining tremendous impetus with …
network security today. Detection of these anomalies, is gaining tremendous impetus with …
Analysis of user's power consumption behavior based on k-means
X Wang, H Li, X Yi, J Kong… - 2022 4th International …, 2022 - ieeexplore.ieee.org
With the continuous development of energy Internet and smart grid technologies, the
potential value of power big data is constantly being mined. User behavior of power …
potential value of power big data is constantly being mined. User behavior of power …
[PDF][PDF] Hybrid Intrusion Detection Method Based on Constraints Optimized SAE and Grid Search Based SVM-RBF on Cloud
N Narisetty, GR Kancherla, B Bobba… - International Journal of …, 2021 - researchgate.net
The present era is facing lot of Security, Privacy, and Integrity issues because of tremendous
development in communication technology, data storage devices, and computing …
development in communication technology, data storage devices, and computing …
Novel Deep Learning Methods for Single-Cell RNA-Seq and CITE-Seq Studies
X Zhang - 2023 - search.proquest.com
In recent years, an increasing number of studies have shown that the expression levels of
mRNA molecules (collectively referred to as the" transcriptome") are highly correlated with …
mRNA molecules (collectively referred to as the" transcriptome") are highly correlated with …
[PDF][PDF] Evaluating the Efficacy of Resampling Techniques in Addressing Class Imbalance for Network Intrusion Detection Systems Using Support Vector Machines
S Kudithipudi, N Narisetty, GR Kancherla… - … homepage: http://iieta …, 2023 - researchgate.net
The objective of this study was to assess the performance of various resampling strategies
aimed at mitigating the class imbalance problem in Network Intrusion Detection Systems …
aimed at mitigating the class imbalance problem in Network Intrusion Detection Systems …