Browsing Technological University of the Shannon: Midlands Midwest by Author "Chawla, Ashima"
Now showing items 1-7 of 7
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Anomaly detection in cyber security
(Athlone Institute of Technology, 2020-06)Identify anomalous (outliers) system call sequences in security domain (Host based Intrusion Detection System). -
Bidirectional LSTM autoencoder for sequence based anomaly detection in cyber security.
(United Kingdom Simulation Society, 2019)Cyber-security is concerned with protecting information, a vital asset in today’s world. The volume of data that is generated can be usefully analyzed when cyber-security systems are effectively implemented with the aid ... -
Deep neural networks for sequence based anomaly detection in cyber security
(Athlone Institute of Technology, 2019)Cyber security has become one of the most challenging aspects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection systems ... -
Host based intrusion detection system with combined CNN/RNN model.
(Springer, 2018-09)Cyber security has become one of the most challenging aspects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection systems ... -
Host based intrusion detection system with combined CNN/RNN model.
(Springer International Publishing, 2018)Cyber security has become one of the most challenging as- pects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection ... -
Intelligent monitoring of IoT devices using neural networks
(IEEE, 2021-03-29)The Internet of Things (IoT) has seen expeditious growth in recent times with 7 billion connected devices in 2020, thus leading to the vital importance of real-time monitoring of IoT devices. Through this paper, we demonstrate ... -
Interpretability and performance of deep neural network based anomaly detection in cyber security and telecommunications
(Technological University of the Shannon: Midlands Midwest, 2022-06)The rapid development of technology and proliferation of data have driven businesses to pursue anomaly detection research. The application of artificial neural networks (ANNs) in anomaly detection achieves the state-of-the-art, ...
