[PDF][PDF] A two-stage deep learning approach for can intrusion detection
With recent advancements in the automotive world and the introductions of autonomous
vehicles, automotive cybersecurity has become a main and primary issue for every …
vehicles, automotive cybersecurity has become a main and primary issue for every …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Intelligent cyber attack detection and classification for network-based intrusion detection systems
With the latest advances in information and communication technologies, greater amounts of
sensitive user and corporate information are shared continuously across the network …
sensitive user and corporate information are shared continuously across the network …
Intrusion detection systems using support vector machines on the kddcup'99 and nsl-kdd datasets: A comprehensive survey
With the growing rates of cyber-attacks and cyber espionage, the need for better and more
powerful intrusion detection systems (IDS) is even more warranted nowadays. The basic …
powerful intrusion detection systems (IDS) is even more warranted nowadays. The basic …
[PDF][PDF] Deep feature extraction for multi-class intrusion detection in industrial control systems
S Potluri, C Diedrich - International Journal of Computer Theory and …, 2017 - ijcte.com
In recent days, network based communication is more vulnerable to outsider and insider
attacks due to its wide spread applications in different domains. Intrusion detection is a key …
attacks due to its wide spread applications in different domains. Intrusion detection is a key …
An evaluation of machine learning methods to detect malicious SCADA communications
JM Beaver, RC Borges-Hink… - 2013 12th international …, 2013 - ieeexplore.ieee.org
Critical infrastructure Supervisory Control and Data Acquisition (SCADA) systems have been
designed to operate on closed, proprietary networks where a malicious insider posed the …
designed to operate on closed, proprietary networks where a malicious insider posed the …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …
Efficient cyber attack detection in industrial control systems using lightweight neural networks and pca
M Kravchik, A Shabtai - IEEE transactions on dependable and …, 2021 - ieeexplore.ieee.org
Industrial control systems (ICSs) are widely used and vital to industry and society. Their
failure can have severe impact on both the economy and human life. Hence, these systems …
failure can have severe impact on both the economy and human life. Hence, these systems …
A nifty collaborative intrusion detection and prevention architecture for smart grid ecosystems
Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
through open networks that are potentially susceptible to cyber-attacks with very acute …
through open networks that are potentially susceptible to cyber-attacks with very acute …
A review of the advances in cyber security benchmark datasets for evaluating data-driven based intrusion detection systems
Cybercrime has led to the loss of billions of dollars, the malfunctioning of computer systems,
the destruction of critical information, the compromising of network integrity and …
the destruction of critical information, the compromising of network integrity and …