About 1,123,007 results (3,913 milliseconds)
Ralf C. Staudemeyer - Google Scholar
https://scholar.google.com/citations?user=awN8CEUAAAAJ&hl=en Applying long short-term memory recurrent neural networks to intrusion detection. RC Staudemeyer. South African Computer Journal 56 (1), 136-154, 2015. 243 ...
Albert Esterline - Google Scholar
https://scholar.google.com/citations?user=JUAGXNsAAAAJ&hl=en Applying long short-term memory recurrent neural network for intrusion detection. S Althubiti, W Nick, J Mason, X Yuan, A Esterline. SoutheastCon 2018, 1-5, ...
Sara A Althubiti - Google Scholar
https://scholar.google.com/citations?user=Bj2EdwMAAAAJ&hl=en Applying long short-term memory recurrent neural network for intrusion detection. S Althubiti, W Nick, J Mason, X Yuan, A Esterline. SoutheastCon 2018, 1-5 ...
Kaushik Roy - Google Scholar
https://scholar.google.com/citations?user=JOi3ND4AAAAJ&hl=en Using a long short-term memory recurrent neural network (LSTM-RNN) to classify network attacks ... Anomaly detection on iot network intrusion using machine ...
Luka Jovanovic - Google Scholar
https://scholar.google.com/citations?user=ekc2hUoAAAAJ&hl=en ... long-short term memory and gated recurrent unit neural networks. N Bacanin, L ... Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram ...
Nhien-An Le-Khac - Google Scholar
https://scholar.google.com/citations?user=e6nKl6kAAAAJ&hl=en Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks. L Bontemps, VL Cao, J McDermott, NA Le-Khac. International Conference on ...
Md. Ebtidaul Karim - Google Scholar
https://scholar.google.com/citations?user=5ihaOvAAAAAJ&hl=en ... intrusion detection system with enhanced recurrent neural networks ... using bidirectional gated recurrent unit and bidirectional long short term memory model.
Thi-Thu-Huong Le - Google Scholar
https://scholar.google.com/citations?user=UptzPYsAAAAJ Long short term memory recurrent neural network classifier for intrusion detection. J Kim, J Kim, TTH Le, H Kim. 2016 International Conference on Platform ...
US11301563B2 - Recurrent neural network based anomaly detection
https://patents.google.com/patent/US11301563B2/en The mechanisms of the illustrative embodiments comprise a recurrent neural network (RNN) having a plurality of long short term memory (LSTM) or gated recurrent ...
Aleksandar Petrović - Google Академик
https://scholar.google.com/citations?user=kuFWGswAAAAJ&hl=sr Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data ... long short-term memory network optimized by modified particle ...
Aleksandar Petrović - Google Академик
https://scholar.google.com/citations?user=kuFWGswAAAAJ&hl=sr Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data ... long short-term memory network optimized by modified particle ...
Ana Minić - Google Академик
https://scholar.google.com/citations?user=2BUNgKwAAAAJ&hl=sr Applying recurrent neural networks ... Anomaly detection in electroencephalography readings using long short-term memory tuned by modified metaheuristic.
Prabaharan P (Praba) PhD, CISSP, CISA - Google Scholar
https://scholar.google.com/citations?user=e233m6MAAAAJ&hl=en Applying convolutional neural network for network intrusion detection. R ... Detecting Android malware using long short-term memory (LSTM). R Vinayakumar ...
US20180288086A1 - Systems and methods for cyberbot network ...
https://patents.google.com/patent/US20180288086A1/en a recurrent neural network unit including one or more long short term memory ... neural network model for use in computer network intrusion detection.
US10347010B2 - Anomaly detection in volumetric images using ...
https://patents.google.com/patent/US10347010B2/en The CNN encoder output is applied to a recurrent neural network (RNN), such as a long short-term memory network. The RNN may output various indications of the ...
Soman K.P - Google Scholar
https://scholar.google.com/citations?user=R_zpXOkAAAAJ&hl=en Applying convolutional neural network for network intrusion detection. R ... Detecting Android malware using long short-term memory (LSTM). R Vinayakumar ...
Nelly Elsayed - Google Scholar
https://scholar.google.com/citations?user=cPYjX5AAAAAJ&hl=en Intrusion detection system in smart home network using bidirectional LSTM and convolutional neural networks hybrid model. N Elsayed, ZS Zaghloul, SW Azumah, C ...
Sydney Mambwe Kasongo (PhD) - Google Scholar
https://scholar.google.com/citations?user=K50-G3oAAAAJ&hl=th ... intrusion detection system using a Recurrent Neural Networks ... A deep long short-term memory based classifier for wireless intrusion detection system.
Thi-Thu-Huong Le - Google 학술 검색
https://scholar.google.com/citations?user=UptzPYsAAAAJ&hl=ko Long short term memory recurrent neural network classifier for intrusion detection. J Kim, J Kim, TTH Le, H Kim. 2016 International Conference on Platform ...
S.S.Sridhar - Google 学术搜索
https://scholar.google.com/citations?user=BxykFJ4AAAAJ&hl=zh-CN An effective recurrent neural network (RNN) based intrusion detection via bi-directional long short-term memory. S Sivamohan, SS Sridhar, S Krishnaveni. 2021 ...