Ai-driven cybersecurity: an overview, security intelligence modeling and research directions
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …
Cybersecurity data science: an overview from machine learning perspective
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …
operations in recent days, and data science is driving the change. Extracting security …
Intelligent transportation system for internet of vehicles based vehicular networks for smart cities
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …
classifying internet traffic. Innovative technologies have been developed for predicting and …
Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset
AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …
transportation system (ITS) that enables vehicles to communicate over the wireless …
Machine learning and deep learning methods for cybersecurity
Y Xin, L Kong, Z Liu, Y Chen, Y Li, H Zhu, M Gao… - Ieee …, 2018 - ieeexplore.ieee.org
With the development of the Internet, cyber-attacks are changing rapidly and the cyber
security situation is not optimistic. This survey report describes key literature surveys on …
security situation is not optimistic. This survey report describes key literature surveys on …
BAT: Deep learning methods on network intrusion detection using NSL-KDD dataset
T Su, H Sun, J Zhu, S Wang, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
Intrusion detection can identify unknown attacks from network traffics and has been an
effective means of network security. Nowadays, existing methods for network anomaly …
effective means of network security. Nowadays, existing methods for network anomaly …
Hybrid intrusion detection using mapreduce based black widow optimized convolutional long short-term memory neural networks
PR Kanna, P Santhi - Expert Systems with Applications, 2022 - Elsevier
The recent advancements in information and communication technologies have led to an
increasing number of online systems and services. These online systems can utilize …
increasing number of online systems and services. These online systems can utilize …
[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
Intrudtree: a machine learning based cyber security intrusion detection model
Cyber security has recently received enormous attention in today's security concerns, due to
the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks …
the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks …
Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms
YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …
computing paradigm. As a result of these improvements, numerous new channels of …