[PDF][PDF] Detection of cyberattacks using bidirectional generative adversarial network

R Vallabhaneni, SA Vaddadi, S Pillai… - Indonesian Journal of …, 2024 - researchgate.net
Due to the progress of communication technologies, diverse information is transmitted in
distributed systems via a network model. Concurrently, with the evolution of communication …

A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things

H Liao, MZ Murah, MK Hasan, AHM Aman… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment

DK Jain, W Ding, K Kotecha - International Journal of Machine Learning …, 2023 - Springer
Cloud computing (CC) has become one of the prominent technologies because of the
significant utility services, which focus on outsourcing data to companies and individual …

An intelligent multiclass deep classifier‐based intrusion detection system for cloud environment

R Bingu, S Jothilakshmi… - … and Computation: Practice …, 2023 - Wiley Online Library
The intrusion detection process is considered an efficient mechanism that plays a prominent
role in network security. Traditional approaches for attack detection, like signature‐based …

CHOS_LSTM: Chebyshev Osprey optimization-based model for detecting attacks

D Kumar, PP Pawar, B Ananthan… - … For Internet of …, 2024 - ieeexplore.ieee.org
This paper explores the application of Chebyshev Osprey optimization-based Long Short
Term Memory (ChOs_LSTM) for intrusion detection, utilizing input from the CICIDS-2018 …

Modeling of Improved Sine Cosine Algorithm with Optimal Deep Learning-Enabled Security Solution

L Almuqren, M Maray, SS Aljameel, R Allafi, AA Alneil - Electronics, 2023 - mdpi.com
Artificial intelligence (AI) acts as a vital part of enhancing network security using intrusion
detection and anomaly detection. These AI-driven approaches have become essential …

Anomaly Based Intrusion Detection System: A Deep Learning Approach

S Tossou, M Qorib, T Kacem - 2023 International Symposium …, 2023 - ieeexplore.ieee.org
In recent years, computer networks have seen a considerable proliferation in terms of
performance and total traffic volume. At the same time, cyber attacks have been on the rise …

[引用][C] A COMPARATIVE STUDY OF INTRUSION DETECTION SYSTEMS USING RNN AND DNN DEEP LEARNING MODELS

L Han, TMZ Murah - ftsm.ukm.my
Intrusion detection is an effective network security defense technology that identifies
intrusions mainly by collecting and analyzing network data. Most traditional intrusion …