[HTML][HTML] SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues
Supervisory control and data acquisition (SCADA) serves as the backbone of several critical
infrastructures, including water supply systems, oil pipelines, transportation and electricity. It …
infrastructures, including water supply systems, oil pipelines, transportation and electricity. It …
Plant disease detection using computational intelligence and image processing
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …
numerous countries including India. Diseases in plants/crops are the serious causes in …
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 …
[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning
Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
A survey on data-driven network intrusion detection
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …
classes compared to normal traffic. Many datasets are collected in simulated environments …
A survey of random forest based methods for intrusion detection systems
Over the past decades, researchers have been proposing different Intrusion Detection
approaches to deal with the increasing number and complexity of threats for computer …
approaches to deal with the increasing number and complexity of threats for computer …
A feature reduced intrusion detection system using ANN classifier
I Manzoor, N Kumar - Expert Systems with Applications, 2017 - Elsevier
Rapid increase in internet and network technologies has led to considerable increase in
number of attacks and intrusions. Detection and prevention of these attacks has become an …
number of attacks and intrusions. Detection and prevention of these attacks has become an …
An enhanced grey wolf optimizer based particle swarm optimizer for intrusion detection system in wireless sensor networks
The intrusion detection system is a method for detection against attacks, making it one of the
essential defense layers. Researchers are trying to find new algorithms to inspect all …
essential defense layers. Researchers are trying to find new algorithms to inspect all …
Network intrusion detection of drones using recurrent neural networks
Summary Flying Ad Hoc Network (FANET) has obtained a great deal of interest over recent
times because of their significant applications. Thus, various examinations have been led on …
times because of their significant applications. Thus, various examinations have been led on …
FSCB-IDS: Feature selection and minority class balancing for attacks detection in VANETS
Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …