Leveraging blockchain technology for ensuring security and privacy aspects in internet of things: A systematic literature review
As the Internet of Things (IoT) concept materialized worldwide in complex ecosystems, the
related data security and privacy issues became apparent. While the system elements and …
related data security and privacy issues became apparent. While the system elements and …
A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
Boosting-based DDoS detection in internet of things systems
I Cvitić, D Perakovic, BB Gupta… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks remain challenging to mitigate in the existing
systems, including in-home networks that comprise different Internet of Things (IoT) devices …
systems, including in-home networks that comprise different Internet of Things (IoT) devices …
lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …
A smart city idea necessitates the integration of information and communication …
An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection
M Mohy-Eddine, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract The Internet of Things (IoT) interconnects billions of sensors and actuators to serve
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …
Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities
Abstract The Internet of things (IoT) is an important technology that is highly beneficial in
establishing smart items, connections and cities. However, there are worries regarding …
establishing smart items, connections and cities. However, there are worries regarding …
Analysis of machine learning classifiers for early detection of DDoS attacks on IoT devices
Distributed denial-of-service attacks are still difficult to handle as per current scenarios. The
attack aim is a menace to network security and exhausting the target networks with …
attack aim is a menace to network security and exhausting the target networks with …
Rank and wormhole attack detection model for RPL-based internet of things using machine learning
The proliferation of the internet of things (IoT) technology has led to numerous challenges in
various life domains, such as healthcare, smart systems, and mission-critical applications …
various life domains, such as healthcare, smart systems, and mission-critical applications …
Ml-lgbm: A machine learning model based on light gradient boosting machine for the detection of version number attacks in rpl-based networks
Internet of Things (IoT) has caused significant digital disruption to the future of the digital
world. With the emergence of the 5G technology, IoT would shift rapidly from aspirational …
world. With the emergence of the 5G technology, IoT would shift rapidly from aspirational …
A survey of smart home iot device classification using machine learning-based network traffic analysis
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …