Security and privacy issues in software-defined networking (SDN): A systematic literature review
Software-defined network (SDNs) have fundamentally changed network infrastructure by
decoupling the data plane and the control plane. This architectural shift rejuvenates the …
decoupling the data plane and the control plane. This architectural shift rejuvenates the …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Modelling, map** and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote …
The present study is designed to monitor the spatio-temporal changes in forest cover using
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …
Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms
The landscape of Pakistan is vulnerable to flood and periodically affected by floods of
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
Exploring hazard quotient, cancer risk, and health risks of toxic metals of the Mehmood Booti and Lakhodair landfill groundwaters, Pakistan
Landfill sites are the most common types of polluted land as they contaminate the
environment badly. Environmental management of polluted sites can only be efficiently done …
environment badly. Environmental management of polluted sites can only be efficiently done …
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with …
MA Setitra, M Fan… - Transactions on Emerging …, 2023 - Wiley Online Library
The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT)
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Abstract The Internet of Things (IoT) is extensively used in modern-day life, such as in smart
homes, intelligent transportation, etc. However, the present security measures cannot fully …
homes, intelligent transportation, etc. However, the present security measures cannot fully …
Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
MP-GUARD: A novel multi-pronged intrusion detection and mitigation framework for scalable SD-IOT networks using cooperative monitoring, ensemble learning, and …
The ever-increasing complexity of the Internet of Things (IoT) environment demands robust
and adaptable intrusion detection frameworks, as existing approaches struggle with real …
and adaptable intrusion detection frameworks, as existing approaches struggle with real …